diff --git a/data/source_assets/multi_hazard/deforestation/000005/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/deforestation/000005/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..f5e9a90c62e955ed8d4dd378e5a7a5094a7ff205 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bfb13aaa542ebdd9727fb65ac958824f5bc80ab3dc11e0e6c502e7b752359804 +size 363448 diff --git a/data/source_assets/multi_hazard/deforestation/000005/quality_report.json b/data/source_assets/multi_hazard/deforestation/000005/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..aaab300a5e8748d55bab15ffc76f624d3179881f --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:18Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:02Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 49.505615234375, + "sample_id": "sample_000005", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/questions/A.json b/data/source_assets/multi_hazard/deforestation/000005/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..1d1a2a0dc30e24defe2062bb3371a79c5d804b61 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000005__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/questions/B.json b/data/source_assets/multi_hazard/deforestation/000005/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..23e22e0c6ba5bfd63d79f0487240e5d09a9bb2e7 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000005__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/questions/C.json b/data/source_assets/multi_hazard/deforestation/000005/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..b4c8de51d0d1ed5c067b97370ba5bc7a0e1db925 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000005__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/questions/D.json b/data/source_assets/multi_hazard/deforestation/000005/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..e118596b21be5f6119a4be98b0eca7d14ac9f038 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000005__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..1c9337ecadc81cce6e2b5e562a5ead00f21a3af3 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:18Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "4a77bc95aa3c3a787a3f19bd9bc589923b14a426f8e8bfb4e7a4a0df0b927ade", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..a1d395a38a625ef19ea1893f7eb15a5f6c5a12fd Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..10e2e61b92136a7b967b9061599c6120508da52e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:04Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 49.505615234375, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "a1e0d03efc57cb552adad419a86c8ae79102ebe1de371484d24372dc5715ac6a", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..456e0a60c726e0c2e855938df728de2d8b5f9f82 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..2bcf3ee7a7df2461acd2cc59140a002557aacc0b --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.6148459911346436, + "minimum": -0.7996002435684204, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "9684abd33a378fb0d967699b8bdc68c7c105c736023a96e5444a87776d86b138", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..2ab016d76806cf54118c17fef7bf03cbb1bd5595 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..1825e6d94fd2bc8b8e5abcc70abca17227741a11 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 2036, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.042724609375, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000005/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "9bf6333bbd157c82718d601319bb4b548615449f75e81fd08c3f72724560af11", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.27580762447746, + -3.490305692714261 + ], + [ + -52.11580762447746, + -3.490305692714261 + ], + [ + -52.11580762447746, + -3.3303056927142607 + ], + [ + -52.27580762447746, + -3.3303056927142607 + ], + [ + -52.27580762447746, + -3.490305692714261 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "9bf6333bbd157c82718d601319bb4b548615449f75e81fd08c3f72724560af11", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -52.27580762447746, + 0.0, + -0.0012500000000000011, + -3.3303056927142607 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..efa718566875789d7ad73335f93a1863cde62d36 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..c3ff3f2d7268c674ef7c6710081c2dea739cc7a7 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": 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0000000000000000000000000000000000000000..e33011c95d3c8302e68d6873fd78814c215f59c6 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000007__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000007", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/questions/B.json b/data/source_assets/multi_hazard/deforestation/000007/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..109eb123e1ddfef3820e77405386a8ece817e4df --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000007__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000007", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/questions/C.json b/data/source_assets/multi_hazard/deforestation/000007/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..3f1e209b16c327ce72bc0890c940d1598b853015 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000007__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000007", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/questions/D.json b/data/source_assets/multi_hazard/deforestation/000007/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..492dd825fbbc83c228ed4e82876afbd2e6ed1fc5 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000007__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000007", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..6d2c006791cf54368c5885719a9137b0a62b42fb --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:42Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "28183d2fb6d99405fca541db5094d751baefad5d3ed3e38d1cd7f9c5c305fc26", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..85b48eb42ef1694c43e166c78824df380e8f118e Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000007/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..90a3614ff758c30c4789c28af63b0058ff0ecd81 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:21Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 60.784912109375, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "ffc678f70cc1b613ed24f0b0844e6db51ce9f163a903ffcbe902efae63f68bbe", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..0af515a26f06707c0eebb765dbba4338413763e2 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000007/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000007/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000007/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..43c30de5ac7748f215a36d2b9a5f2ee3e3ed85ad --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000007/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": 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"all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:40Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:02Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 41.119384765625, + "sample_id": "sample_000009", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/questions/A.json b/data/source_assets/multi_hazard/deforestation/000009/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..e69f087cfccf36a794e88e7eb78f6c4936181426 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000009__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/questions/B.json b/data/source_assets/multi_hazard/deforestation/000009/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..51714c1a96631a7e0f3af4c844e9391dec73d346 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000009__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/questions/C.json b/data/source_assets/multi_hazard/deforestation/000009/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..df5eb580f80fe0d16f1c1a2e57ea5becd0875bf6 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000009__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/questions/D.json b/data/source_assets/multi_hazard/deforestation/000009/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..5f2d8fdfa63403dd862277e7c91c474ec24593dc --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000009__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..b0324427fdebefd5d938c98d3b26a4ccb2859c3d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:40Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "31cba464d28c1e09fd8f7211b1d3ac64d1fe48795c5f3a1b2f00f170f2b7c34f", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..85bdedb91ef998f002b2f321cbf536b2f48620e5 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000009/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..b942cb51ba297865c5fc3a920e309dd5b7c74994 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:24Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 41.119384765625, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "dff30f35f217897e1a4bcbd30b833938ebe5d2a60a4c5cfe24c197377bf81591", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..a526e28f53dea0bc9f54932c6ae76f985340a44a Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000009/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..e3de63161886627200f0ebe4ec09acd0ab4b79b1 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.39911121129989624, + "minimum": -0.8453367948532104, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "ef6699155ca8dca7c73e8ae0edc0d3415104c18dbd3c09e39c78ca4deba7c7b7", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..053849a6978220a44a8dca39f052ae7dfb638095 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000009/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..4b3d6c3a8cb0c47cf5aee97026b7d3810fe3a1a3 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1894, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.03387451171875, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000009/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "afba93f0d982f93a61ebf3b1077140a58ca1188af2e83f8ddf37822c3fb358eb", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.03358735170973, + -3.2367047687912023 + ], + [ + -51.87358735170973, + -3.2367047687912023 + ], + [ + -51.87358735170973, + -3.076704768791202 + ], + [ + -52.03358735170973, + -3.076704768791202 + ], + [ + -52.03358735170973, + -3.2367047687912023 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "afba93f0d982f93a61ebf3b1077140a58ca1188af2e83f8ddf37822c3fb358eb", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -52.03358735170973, + 0.0, + -0.0012500000000000011, + -3.076704768791202 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..e21a5440ac193b3ef02afbdfdd68be0df36fdb66 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..702200da32bdf54f893a35af0d5e5234cadb9810 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000009/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1821, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.0, + "mean": 0.0169677734375, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000009/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "d9fdc75b25c75510d9bf07318eb6dafe228fefc72207c086338c9d935c6f7429", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.03358735170973, + -3.2367047687912023 + ], + [ + -51.87358735170973, + -3.2367047687912023 + ], + [ + -51.87358735170973, + -3.076704768791202 + ], + [ + -52.03358735170973, + -3.076704768791202 + ], + [ + -52.03358735170973, + -3.2367047687912023 + ] + ] + ], + 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"required_tools": [ + "CompareAcrossSources", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/gt/B.json b/data/source_assets/multi_hazard/deforestation/000010/gt/B.json new file mode 100644 index 0000000000000000000000000000000000000000..0cc7ba5b5664102ddf87d071db3fbfd344fff8b0 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/gt/B.json @@ -0,0 +1,46 @@ +{ + "answer": { + "class": "none", + "dominant_fraction": 1.0 + }, + "case_id": "deforestation__000010__B", + "evidence": { + "analysis_scope": "hansen_loss_footprint", + "by_class": { + "major": { + "area_ha": 0.0, + "mean_value": null, + "pixel_count": 0 + }, + "minor": { + "area_ha": 0.0, + "mean_value": null, + "pixel_count": 0 + }, + "none": { + "area_ha": 1449.402, + "mean_value": -0.286088, + "pixel_count": 767 + }, + "severe": { + "area_ha": 0.0, + "mean_value": null, + "pixel_count": 0 + } + }, + "dominant_class": "none", + "mask_pixel_count": 767 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "ComputeRegionStats", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/gt/C.json b/data/source_assets/multi_hazard/deforestation/000010/gt/C.json new file mode 100644 index 0000000000000000000000000000000000000000..e45f878cff2d31d32507754b59ff799b0c7f6bde --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/gt/C.json @@ -0,0 +1,47 @@ +{ + "answer": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 274.006, + "median_pct_delta": 136.404, + "metric": "area_agreement", + "verdict": "sources_disagree" + }, + "case_id": "deforestation__000010__C", + "evidence": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 274.006, + "median_pct_delta": 136.404, + "metric": "area_agreement", + "pairwise_categorical_kappa": { + "hansen_loss__radd_alerts": 0.003727, + "hansen_loss__tmf_loss": 0.25425, + "tmf_loss__radd_alerts": -0.00476 + }, + "pairwise_iou": { + "hansen_loss__radd_alerts": 0.004902, + "hansen_loss__tmf_loss": 0.152971, + "tmf_loss__radd_alerts": 0.0 + }, + "pairwise_state_agreement": { + "hansen_loss__radd_alerts": 0.950439, + "hansen_loss__tmf_loss": 0.959106, + "tmf_loss__radd_alerts": 0.987915 + }, + "score_contract": "bounded_0_100_area_agreement_v1", + "verdict": "sources_disagree" + }, + "min_tool_calls": 5, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "CompareAcrossSources", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/gt/D.json b/data/source_assets/multi_hazard/deforestation/000010/gt/D.json new file mode 100644 index 0000000000000000000000000000000000000000..833b3ee2ddf1a6eb44c76d76c7342556bb3a699d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/gt/D.json @@ -0,0 +1,37 @@ +{ + "answer": { + "availability_status": "no_cached_highway_representative", + "nearest_highway_representative_distance_m": null + }, + "case_id": "deforestation__000010__D", + "evidence": { + "asset_geometry_contract": "cached_feature_representative_point_v1", + "critical_infrastructure": { + "highways": { + "in_buffer": 0, + "in_footprint": 0, + "nearest": { + "distance_m": null, + "name": null + } + } + }, + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "footprint_area_ha": 1449.402, + "footprint_handle": "hansen_loss__event", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_within_footprint": 0.0 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "LoadCachedRaster", + "QueryExposure", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/metadata.json b/data/source_assets/multi_hazard/deforestation/000010/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..99a62b4f1b31c4fa91f5b8621dddbaeba344d622 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/metadata.json @@ -0,0 +1,45 @@ +{ + "accepted": true, + "aoi_id": "deforestation__sample_000010", + "built_at": "2026-05-17T04:45:18Z", + "candidate_index": 10, + "domain": "deforestation", + "domain_label": "Deforestation", + "end_date": "2022-09-30", + "event_name": "Rondonia clearing AOI 10", + "geometry": { + "coordinates": [ + [ + [ + -63.97916275294228, + -11.010175414189636 + ], + [ + -63.81916275294228, + -11.010175414189636 + ], + [ + -63.81916275294228, + -10.850175414189636 + ], + [ + -63.97916275294228, + -10.850175414189636 + ], + [ + -63.97916275294228, + -11.010175414189636 + ] + ] + ], + "type": "Polygon" + }, + "sample_id": "sample_000010", + "source_contract_version": "c05_true_source_v1", + "source_mode": "provider_exact_rebuild", + "source_mode_expected": "gee_live", + "split": "train_val", + "start_date": "2022-06-01", + "target_date": "2022", + "window_label": "2022" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/osm/pois.geojson b/data/source_assets/multi_hazard/deforestation/000010/osm/pois.geojson new file mode 100644 index 0000000000000000000000000000000000000000..996f9bf1620ec61c55ef6f8c5a8034eda7b7d02d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/osm/pois.geojson @@ -0,0 +1,4 @@ +{ + "features": [], + "type": "FeatureCollection" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/panels/cross_source_comparison.png b/data/source_assets/multi_hazard/deforestation/000010/panels/cross_source_comparison.png new file mode 100644 index 0000000000000000000000000000000000000000..77f31222eca59ac0a8787dfe8e8dfbca181b3c34 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/panels/cross_source_comparison.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:894725bf823b6d3dfe656eac02409760595faabd1e64042a803396fb5d86a4c4 +size 47639 diff --git a/data/source_assets/multi_hazard/deforestation/000010/panels/exposure_overlay.png b/data/source_assets/multi_hazard/deforestation/000010/panels/exposure_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..c0c4014fbb214782dddee4e82de65222199a395b --- /dev/null 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0000000000000000000000000000000000000000..85d50385955a8264601b51f52f66b3149559c990 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:243ab6fb222aa6654a12aa1dfde0225b12d832cedca02e9e472352376d08cbc7 +size 379105 diff --git a/data/source_assets/multi_hazard/deforestation/000010/quality_report.json b/data/source_assets/multi_hazard/deforestation/000010/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..c31c1f5942068eba69c3fdc933059018f6249108 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:37Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:02Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 64.9169921875, + "sample_id": "sample_000010", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/questions/A.json b/data/source_assets/multi_hazard/deforestation/000010/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..1743fcae9ee7aad4bfc6e74c5586ec562e9d31a3 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000010__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/questions/B.json b/data/source_assets/multi_hazard/deforestation/000010/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..cf766391e3a79b99a389f3f5b1547e3ea498fa70 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000010__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/questions/C.json b/data/source_assets/multi_hazard/deforestation/000010/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..53061f411c426f3854e5bb3f1b018d3e6ee3b4b0 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000010__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/questions/D.json b/data/source_assets/multi_hazard/deforestation/000010/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..5eb6df196776c0e43e00e76ff4f5d1b4cfd9a312 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000010__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "null", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "null", + "distance_m": "null" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000010/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000010/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..557f6f6c045b15fe2258cd0302c1400980aae40b --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000010/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:37Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000010/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + 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"panels_ok": true, + "raw_nan_pct_max_before_gapfill": 65.2587890625, + "sample_id": "sample_000011", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/questions/A.json b/data/source_assets/multi_hazard/deforestation/000011/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..c16e9ec39bd49960a197bcfe4d9d5d97f1e4b1cb --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000011__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000011", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/questions/B.json b/data/source_assets/multi_hazard/deforestation/000011/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..0217e0c85e7ac2372dc59d981f8b01f970b2de8e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000011__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000011", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/questions/C.json b/data/source_assets/multi_hazard/deforestation/000011/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..d0783337247e381d39c4925fbc69eff01da485d0 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000011__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000011", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/questions/D.json b/data/source_assets/multi_hazard/deforestation/000011/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..9282cea82e93955773cb2a274fc0ffb422ac7e49 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000011__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000011", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..d33983f512c775cca178363e4d500726b540740a --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:38Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "a78a8ef9fcbc984e6ed41cc42e92bf16d14baa4ffd212bfd0866110f014c4e51", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..687b8780eb2d4b058781841ad661502a22204582 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000011/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..73ce7019b066b8b8d7bd9680193b2aba120fb4ec --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:25Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 65.2587890625, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "13a0d99656a425582e8173c7ddf6065553c589c0279d900e521369e4bcdad504", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..c133aead2e296edb242b0da8af43a31a7ee7c0ef Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000011/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..3884c19c594c0f654a0430bba193f1005461bf04 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.48764246702194214, + "minimum": -0.6059830188751221, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "793b357df5b95906b5fcbfa44ce8b7087071b19a431453e062fe26f548cd4c94", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..d861a43c9e369bbef20d6c5baf0888619b3638f8 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000011/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..0f4e5828a5534667ab79e153b72aa9755878af83 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": true, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1344, + "constant": true, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 0.0, + "mean": 0.0, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000011/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "166f3d761cfa8b9e4595148abeaef9926ce8071b85187097f96c556a3403e86c", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -69.16051573269591, + -12.6880952053411 + ], + [ + -69.00051573269592, + -12.6880952053411 + ], + [ + -69.00051573269592, + -12.5280952053411 + ], + [ + -69.16051573269591, + -12.5280952053411 + ], + [ + -69.16051573269591, + -12.6880952053411 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 0.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "166f3d761cfa8b9e4595148abeaef9926ce8071b85187097f96c556a3403e86c", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -69.16051573269591, + 0.0, + -0.0012500000000000011, + -12.5280952053411 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..2d7fbdcfb99e462f5f45da1431c6ee4655481ff8 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..824d7e7cfa5babab9c0fcc8f78c938c24df9fdde --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": true, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1321, + "constant": true, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 0.0, + "mean": 0.0, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000011/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "a23e4891cdbdb66e50a7a07d0adb697b779f01330aa707c0eb0d2a692c80d98b", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -69.16051573269591, + -12.6880952053411 + ], + [ + -69.00051573269592, + -12.6880952053411 + ], + [ + -69.00051573269592, + -12.5280952053411 + ], + [ + -69.16051573269591, + -12.5280952053411 + ], + [ + -69.16051573269591, + -12.6880952053411 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000011/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 0.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "a23e4891cdbdb66e50a7a07d0adb697b779f01330aa707c0eb0d2a692c80d98b", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + 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56 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "ComputeRegionStats", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/gt/C.json b/data/source_assets/multi_hazard/deforestation/000012/gt/C.json new file mode 100644 index 0000000000000000000000000000000000000000..88a3ee617d6dc8bece4f10f1f9bac72cce8f7dc8 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/gt/C.json @@ -0,0 +1,47 @@ +{ + "answer": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 3.846, + "median_pct_delta": 200.0, + "metric": "area_agreement", + "verdict": "sources_disagree" + }, + "case_id": "deforestation__000012__C", + "evidence": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 3.846, + "median_pct_delta": 200.0, + "metric": "area_agreement", + "pairwise_categorical_kappa": { + "hansen_loss__radd_alerts": 0.0, + "hansen_loss__tmf_loss": 0.034255, + "tmf_loss__radd_alerts": 0.0 + }, + "pairwise_iou": { + "hansen_loss__radd_alerts": 0.0, + "hansen_loss__tmf_loss": 0.017544, + "tmf_loss__radd_alerts": 0.0 + }, + "pairwise_state_agreement": { + "hansen_loss__radd_alerts": 0.996582, + "hansen_loss__tmf_loss": 0.996582, + "tmf_loss__radd_alerts": 0.999878 + }, + "score_contract": "bounded_0_100_area_agreement_v1", + "verdict": "sources_disagree" + }, + "min_tool_calls": 5, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "CompareAcrossSources", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/gt/D.json b/data/source_assets/multi_hazard/deforestation/000012/gt/D.json new file mode 100644 index 0000000000000000000000000000000000000000..72b09f0f9e7f1c9f7e1c7264fb96fe879514bca6 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/gt/D.json @@ -0,0 +1,37 @@ +{ + "answer": { + "availability_status": "found", + "nearest_highway_representative_distance_m": 2566.039 + }, + "case_id": "deforestation__000012__D", + "evidence": { + "asset_geometry_contract": "cached_feature_representative_point_v1", + "critical_infrastructure": { + "highways": { + "in_buffer": 4, + "in_footprint": 0, + "nearest": { + "distance_m": 2566.039, + "name": "Highways OSM" + } + } + }, + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "footprint_area_ha": 107.692, + "footprint_handle": "hansen_loss__event", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_within_footprint": 6.565 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:17Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "LoadCachedRaster", + "QueryExposure", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/metadata.json b/data/source_assets/multi_hazard/deforestation/000012/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..44c9c93ac15e0f1cfa0c09b5a5135c592edbcbdd --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/metadata.json @@ -0,0 +1,45 @@ +{ + "accepted": true, + "aoi_id": "deforestation__sample_000012", + "built_at": "2026-05-17T04:45:26Z", + "candidate_index": 12, + "domain": "deforestation", + "domain_label": "Deforestation", + "end_date": "2022-09-30", + "event_name": "Borneo clearing AOI 12", + "geometry": { + "coordinates": [ + [ + [ + 117.4699912796357, + 0.85181936479595 + ], + [ + 117.6299912796357, + 0.85181936479595 + ], + [ + 117.6299912796357, + 1.01181936479595 + ], + [ + 117.4699912796357, + 1.01181936479595 + ], + [ + 117.4699912796357, + 0.85181936479595 + ] + ] + ], + "type": "Polygon" + }, + "sample_id": "sample_000012", + "source_contract_version": "c05_true_source_v1", + "source_mode": "provider_exact_rebuild", + "source_mode_expected": "gee_live", + "split": "hidden_test", + "start_date": "2022-06-01", + "target_date": "2022", + "window_label": "2022" +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/osm/pois.geojson b/data/source_assets/multi_hazard/deforestation/000012/osm/pois.geojson new file mode 100644 index 0000000000000000000000000000000000000000..70ed3eea925681a60ffae925506f238666aa5553 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/osm/pois.geojson @@ -0,0 +1,131 @@ +{ + "features": [ + { + "geometry": { + "coordinates": [ + 117.4928857, + 0.9044976 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 18, + "name": "Highways OSM", + "osm_id": 618457170, + "osm_type": "way", + "row": 85 + }, + "type": "Feature" + }, + { + "geometry": { + "coordinates": [ + 117.4938906, + 0.8825288 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 19, + "name": "Highways OSM", + "osm_id": 618457171, + "osm_type": "way", + "row": 103 + }, + "type": "Feature" + }, + { + "geometry": { + "coordinates": [ + 117.4982935, + 0.8861493 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 22, + "name": "Highways OSM", + "osm_id": 618457172, + "osm_type": "way", + "row": 100 + }, + "type": "Feature" + }, + { + "geometry": { + "coordinates": [ + 117.5945986, + 0.8557542 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 99, + "name": "Highways OSM", + "osm_id": 618457377, + "osm_type": "way", + "row": 124 + }, + 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--git a/data/source_assets/multi_hazard/deforestation/000012/panels/primary_index_overlay.png b/data/source_assets/multi_hazard/deforestation/000012/panels/primary_index_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..08a0b3a0def3687d0cc198c1b2e70202c0dfb8d9 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/panels/primary_index_overlay.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21b8051c9d0369cf12512e8a34a135cea41bca9b0291a23cbabab27936c52871 +size 189442 diff --git a/data/source_assets/multi_hazard/deforestation/000012/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/deforestation/000012/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..e5ccc16a0da04acb3c817801ff0e6c2d038565be --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7f8dbb2aafbffd4bcb422f7ad602778a6ff3b5dca7347c98420eac562748a26 +size 376882 diff --git a/data/source_assets/multi_hazard/deforestation/000012/quality_report.json b/data/source_assets/multi_hazard/deforestation/000012/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..775c186e2dfe680bc5b80134f9ca6724475e5eca --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:41Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:02Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 76.654052734375, + "sample_id": "sample_000012", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/questions/A.json b/data/source_assets/multi_hazard/deforestation/000012/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..f5fdd376f4403680efa0edbb09935d36918259bf --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000012__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000012", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/questions/B.json b/data/source_assets/multi_hazard/deforestation/000012/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..d49cf17601af8f17256988c0cdfacb893e254880 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000012__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000012", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/questions/C.json b/data/source_assets/multi_hazard/deforestation/000012/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..96d71c288a602f7682b04679e8740a2ee383e4bf --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000012__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000012", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000012/questions/D.json b/data/source_assets/multi_hazard/deforestation/000012/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..b9a0ec7e049f18c5f6fecf7b1b47e633a0ab6c8d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000012/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000012__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000012", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + 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"hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:03Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 46.0205078125, + "sample_id": "sample_000013", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/questions/A.json b/data/source_assets/multi_hazard/deforestation/000013/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..157d00f185cf05bd75f9ebef8d74a1af6e6ce076 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000013__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/questions/B.json b/data/source_assets/multi_hazard/deforestation/000013/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..a01c88cb1bfb3c48caf083d1bfeb56deb84236e0 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000013__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/questions/C.json b/data/source_assets/multi_hazard/deforestation/000013/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..9e5053661cb389f79d03fa71347c4639ad8673ea --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000013__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/questions/D.json b/data/source_assets/multi_hazard/deforestation/000013/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..bc830a96e3211f768b7fdb7a711c07a7b8cad030 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000013__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..65695cb66221cdb2fec259e5471a95538c33de27 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:52Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "b13179f9ded7dbe1d23de041c1844010cc3cf282816cbc9f892b77b771922ae9", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..794069c55c6f314d22a1e3623bd5e6e599f3f270 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000013/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..1315a8bede9632a6c62b3ba117be60515106e990 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:42Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 46.0205078125, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "c072da9f1da6f997a5785e81cfeb6f2463946922d0a24b1c95d8574f1b3725cf", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..6e0c793ab4e9a3716bf594e73d9842a11ce0f2ac Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000013/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..af64c5b81467408cac0f178922e4b212f82f9391 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.5762985348701477, + "minimum": -0.8936212062835693, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "0464a3294e338721f5ed4291f323bad2d5bae6b01a8572ffc16330ad6f819269", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..182598e0ef94c0fa6e46ccc4aa80fd9513ad1bd1 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000013/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..8456b5f992105088fce302e2e23aa5eb1401a4de --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1640, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.01373291015625, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000013/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "bd6ed4068ce2650b515e9e8348cf3b0343a39492ee57ef8e5102356ebeda73e4", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.036895363222406, + -3.4178847668149412 + ], + [ + -51.87689536322241, + -3.4178847668149412 + ], + [ + -51.87689536322241, + -3.257884766814941 + ], + [ + -52.036895363222406, + -3.257884766814941 + ], + [ + -52.036895363222406, + -3.4178847668149412 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "bd6ed4068ce2650b515e9e8348cf3b0343a39492ee57ef8e5102356ebeda73e4", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -52.036895363222406, + 0.0, + -0.0012500000000000011, + -3.257884766814941 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..e459000823b35540e643d14994d3187812863e46 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..99b755cf1e2b4b374963802e3ae4c5ea7786ec95 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1599, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.0, + "mean": 0.00689697265625, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000013/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "a1936ab497712cb708f95c0bce9d2b691393a60259468bf9cc0fce74039317cf", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.036895363222406, + -3.4178847668149412 + ], + [ + -51.87689536322241, + -3.4178847668149412 + ], + [ + -51.87689536322241, + -3.257884766814941 + ], + [ + -52.036895363222406, + -3.257884766814941 + ], + [ + -52.036895363222406, + -3.4178847668149412 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 1.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "a1936ab497712cb708f95c0bce9d2b691393a60259468bf9cc0fce74039317cf", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": 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b/data/source_assets/multi_hazard/deforestation/000013/rasters/s2_ndvi__post.json new file mode 100644 index 0000000000000000000000000000000000000000..7233de89a71d7a268a2bd389dfdf0824459c567d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000013/rasters/s2_ndvi__post.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2022-06-01", + "2022-09-30" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:51Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000013/rasters/s2_ndvi__post.tif", + "handle": "s2_ndvi__post", + "modality": "sentinel2_ndvi", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "7b422ade6fd9ee4d2c472d3a0ef0dd2d16fa27884fdc467e9b0e47d1e0a116c8", + "shape": [ + 128, + 128 + ], + "source": "COPERNICUS/S2_SR_HARMONIZED NDVI", + "source_mode": "gee_live", + "units": "index" +} diff --git 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"geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/gt/D.json b/data/source_assets/multi_hazard/deforestation/000014/gt/D.json new file mode 100644 index 0000000000000000000000000000000000000000..7222303e7646b44b3457b1da9a5b6a61387fc6a6 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/gt/D.json @@ -0,0 +1,37 @@ +{ + "answer": { + "availability_status": "no_cached_highway_representative", + "nearest_highway_representative_distance_m": null + }, + "case_id": "deforestation__000014__D", + "evidence": { + "asset_geometry_contract": "cached_feature_representative_point_v1", + "critical_infrastructure": { + "highways": { + "in_buffer": 0, + "in_footprint": 0, + "nearest": { + "distance_m": null, + "name": null + } + } + }, + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "footprint_area_ha": 402.508, + "footprint_handle": "hansen_loss__event", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_within_footprint": 0.011 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:18Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "LoadCachedRaster", + "QueryExposure", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/metadata.json b/data/source_assets/multi_hazard/deforestation/000014/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ae7859087057fda5ae2247b8d6df107f2dd8922 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/metadata.json @@ -0,0 +1,45 @@ +{ + "accepted": true, + "aoi_id": "deforestation__sample_000014", + "built_at": "2026-05-17T04:45:38Z", + "candidate_index": 14, + "domain": "deforestation", + "domain_label": "Deforestation", + "end_date": "2022-09-30", + "event_name": "Rondonia clearing AOI 14", + "geometry": { + "coordinates": [ + [ + [ + -64.08388773833443, + -11.01107832541766 + ], + [ + -63.92388773833443, + -11.01107832541766 + ], + [ + -63.92388773833443, + -10.85107832541766 + ], + [ + -64.08388773833443, + -10.85107832541766 + ], + [ + -64.08388773833443, + -11.01107832541766 + ] + ] + ], + "type": "Polygon" + }, + "sample_id": "sample_000014", + "source_contract_version": "c05_true_source_v1", + "source_mode": "provider_exact_rebuild", + "source_mode_expected": "gee_live", + "split": "train_val", + "start_date": "2022-06-01", + "target_date": "2022", + "window_label": "2022" +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/osm/pois.geojson b/data/source_assets/multi_hazard/deforestation/000014/osm/pois.geojson new file mode 100644 index 0000000000000000000000000000000000000000..996f9bf1620ec61c55ef6f8c5a8034eda7b7d02d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/osm/pois.geojson 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b/data/source_assets/multi_hazard/deforestation/000014/panels/exposure_overlay.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65277191bc86dc364ef41b0aaeaf7660063d660ae97f7028ec2432d9b2905f32 +size 57317 diff --git a/data/source_assets/multi_hazard/deforestation/000014/panels/primary_index_overlay.png b/data/source_assets/multi_hazard/deforestation/000014/panels/primary_index_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..f0f2327d2042ed567caaed08426fe72f1d7d9aed --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/panels/primary_index_overlay.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da37dccbe4cd6204d90152dc21580ef3f1f343ba6d99e42fa5275d62c6271f59 +size 210175 diff --git a/data/source_assets/multi_hazard/deforestation/000014/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/deforestation/000014/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..7173c0dd9d1b5d6174b9cf169d618523a366018f --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8405b769bd728f97a92c39d9adae18387b643f59e4e723d6b64a1e7a26baf114 +size 393886 diff --git a/data/source_assets/multi_hazard/deforestation/000014/quality_report.json b/data/source_assets/multi_hazard/deforestation/000014/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..1abe0829d823b14441a6b5e1e00a3a022ef0a3fd --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:56Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:03Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 89.105224609375, + "sample_id": "sample_000014", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/questions/A.json b/data/source_assets/multi_hazard/deforestation/000014/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..c1af0ba84afd0fd907afb2f021258c4619b3fe3e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000014__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000014", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/questions/B.json b/data/source_assets/multi_hazard/deforestation/000014/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..8990cf8b3dc69be00ece85eb10112536d980d96a --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000014__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000014", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/questions/C.json b/data/source_assets/multi_hazard/deforestation/000014/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..796aef5e594c58b0a4d586f64b0b089df81a47ab --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000014__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000014", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/questions/D.json b/data/source_assets/multi_hazard/deforestation/000014/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..e38eac6579523f287f98580352c45caad0d0a90d --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000014__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "null", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "null", + "distance_m": "null" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000014", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..8d199fa8c459e6fc87c1f00cc002c665ad57ee18 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:56Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "0f7c289e5f819f984d1393335b74866fc3ef7c8cdc2e6f5b9370252c161f34c4", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..f6f8c0269f70d78cc0a50cf9dcb1a2376f17aa9b Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000014/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000014/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000014/rasters/hansen_loss__event.json new file mode 100644 index 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b/data/source_assets/multi_hazard/deforestation/000015/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..38da8272acdc7931715f4442d37f3e24038498f1 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000015/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:45:54Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:03Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 72.16796875, + "sample_id": "sample_000015", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000015/questions/A.json b/data/source_assets/multi_hazard/deforestation/000015/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..1f084ea2b143f932fee565685fc21854ab172e8a --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000015/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000015__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000015", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000015/questions/B.json b/data/source_assets/multi_hazard/deforestation/000015/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..3e315a53ff809da96e2e5a66c9995c9526bf8852 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000015/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000015__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000015", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000015/questions/C.json b/data/source_assets/multi_hazard/deforestation/000015/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..51c0209df47084c437af18ea20af912c7a17dc20 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000015/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000015__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000015", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000015/questions/D.json b/data/source_assets/multi_hazard/deforestation/000015/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..b4f1725f76483e3a3052c764d1325a4298bfe922 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000015/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000015__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000015", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + 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"hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000017__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000017", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/questions/B.json b/data/source_assets/multi_hazard/deforestation/000017/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..9608ff4fb1d64b2f225f3bc1cfe8a7063126dae2 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000017__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000017", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/questions/C.json b/data/source_assets/multi_hazard/deforestation/000017/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..c1f983678427b0d335a38f8be28a750950667d7c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000017__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000017", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/questions/D.json b/data/source_assets/multi_hazard/deforestation/000017/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..abb2f6b88ee47dd720f4113133c7826dac2db9fa --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000017__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000017", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..b11b3dabf842447a1bec4b1b8a2f19da8eeeb813 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:59Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "e176187dda77c32185166ef6038f757c77bd16bc3fb2928f4c4f999a23dd64e3", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..4d7e3d580d1e54b560a30c2f99986087269312e4 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000017/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..c74ef21c3db9ab9f0f313640f1c22af8ced03df4 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:45Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 53.802490234375, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "810eeefffb0e78a179036eac27f892d22f896a311793c01099fefc958bdf934f", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..fa7996dad42669dc1a2db1134795bba6ee1277e6 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000017/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..d6772fcdaf9ae2234b7d6793c07579ed59a23bc5 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.537334144115448, + "minimum": -0.8213905692100525, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "25d4d55aa9210038bdb6c31c7141ec14acf271970241d371074793a0d74f8ac0", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..d2e72e945102638d94bdfa436379fd64c67e9446 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000017/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..0b1abe8de52dc0e21c590f40dd4db54f6119a4f4 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1500, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.00579833984375, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000017/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "42cbac0d7f52a97ef985b58266aca7a837972820f92546a0bdecf253735a5a9f", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.30135182609043, + -3.2399962080567706 + ], + [ + -52.141351826090435, + -3.2399962080567706 + ], + [ + -52.141351826090435, + -3.0799962080567704 + ], + [ + -52.30135182609043, + -3.0799962080567704 + ], + [ + -52.30135182609043, + -3.2399962080567706 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "42cbac0d7f52a97ef985b58266aca7a837972820f92546a0bdecf253735a5a9f", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -52.30135182609043, + 0.0, + -0.0012500000000000011, + -3.0799962080567704 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..9342a63887132b2f570358ff39454276046ff328 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..e069fe113682c613a930305c80df5404878abbaf --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1463, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.0, + "mean": 0.00299072265625, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000017/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "662e517de29f44e3152f5921e5d37c9ded6bccce733b2216040f29b3f26dbfd9", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -52.30135182609043, + -3.2399962080567706 + ], + [ + -52.141351826090435, + -3.2399962080567706 + ], + [ + -52.141351826090435, + -3.0799962080567704 + ], + [ + -52.30135182609043, + -3.0799962080567704 + ], + [ + -52.30135182609043, + -3.2399962080567706 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "00N_060W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000017/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 1.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "662e517de29f44e3152f5921e5d37c9ded6bccce733b2216040f29b3f26dbfd9", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": 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0000000000000000000000000000000000000000..29b9c16d13d9f1cfef8d22e550541463924fe13b --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000019__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000019", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/questions/B.json b/data/source_assets/multi_hazard/deforestation/000019/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..d9dec6169a49dde7916adb5af4be022c910d749e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000019__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000019", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/questions/C.json b/data/source_assets/multi_hazard/deforestation/000019/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..a79df2a7fbb99c0e009979fdf004a8133d889e70 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000019__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000019", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/questions/D.json b/data/source_assets/multi_hazard/deforestation/000019/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..3d7ac11848fd5dfd0ff6f3099d0637052b927864 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000019__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000019", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..d891f5a84b0165cfab2a4e5e774ed4825f3addfe --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:08Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "4c79bd771b4b1f9560db1cadddd4e9290d67633a64176ca0030c10e84d7eaa1a", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..8c0c845fc1666b8fde08181c3166d6f1998de229 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000019/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..c1a68068eca8e7928a12f03573b619aa9d1955bf --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:56Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 49.15771484375, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "87ff81ecd892aec2987d0034303e11cf89c3b0388ecf18f524da0aff0a18be3d", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..6a70dc4a98cb23e1e855fac79eb47841484973fb Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000019/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..9b0d20bfe978053cb5eb89147d0751fcef151b14 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.6585376858711243, + "minimum": -0.4157257378101349, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "fd0d3f65f2493f3a8d39c3585c62ab3cc58f29fe1ebc297ff25096fcbb9d4247", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..234cf51138cb08c58829c2215c1c427d6bbf2aa1 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000019/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000019/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000019/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..6e5b1566434c8d5bfd3810c88642bd908f4bde17 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000019/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": true, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1344, + "constant": true, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 0.0, + "mean": 0.0, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000019/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "5fb06430390a28493e9488cbd5e53a6724864a2c98b2153f26bfc6a1bedc1aec", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -69.43257551187385, + -12.661686139965058 + ], + [ + -69.27257551187385, + -12.661686139965058 + ], + [ + -69.27257551187385, + -12.501686139965058 + ], + [ + -69.43257551187385, + -12.501686139965058 + ], + [ + -69.43257551187385, + -12.661686139965058 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000019/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 0.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "5fb06430390a28493e9488cbd5e53a6724864a2c98b2153f26bfc6a1bedc1aec", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -69.43257551187385, + 0.0, + -0.0012500000000000011, + -12.501686139965058 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff 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+ "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1321, + "constant": true, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 0.0, + "mean": 0.0, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000019/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "f6bb701e4f964b763f8f4381c24e74677159779d075037d50c51c2e9c6dcd290", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -69.43257551187385, + -12.661686139965058 + ], + [ + -69.27257551187385, + -12.661686139965058 + ], + [ + -69.27257551187385, + -12.501686139965058 + ], + [ + -69.43257551187385, + -12.501686139965058 + ], + [ + -69.43257551187385, + -12.661686139965058 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000019/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 0.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "f6bb701e4f964b763f8f4381c24e74677159779d075037d50c51c2e9c6dcd290", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + 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"panels_ok": true, + "raw_nan_pct_max_before_gapfill": 42.913818359375, + "sample_id": "sample_000020", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000020/questions/A.json b/data/source_assets/multi_hazard/deforestation/000020/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..a3519e523b7d8a2215fbef1b0dcdde30f5814800 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000020/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000020__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000020/questions/B.json b/data/source_assets/multi_hazard/deforestation/000020/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..b592c3886521f4dce538cd27417a87e7bbf1227c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000020/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000020__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000020/questions/C.json b/data/source_assets/multi_hazard/deforestation/000020/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..0ac94bba25474e8a748cf76f205cae1bf7596d24 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000020/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000020__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000020/questions/D.json b/data/source_assets/multi_hazard/deforestation/000020/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..a8aee07f910b319d369afd25109b0ce859214668 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000020/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000020__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + 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sha256:d4a556ec193fdb8b3601179760954f4346f471964f6f2a724f406cc4049e7e74 +size 350137 diff --git a/data/source_assets/multi_hazard/deforestation/000021/quality_report.json b/data/source_assets/multi_hazard/deforestation/000021/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..c9d3b3dda19c1464f91709aba03a1a071b279a5c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:46:11Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:04Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 27.325439453125, + "sample_id": "sample_000021", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/questions/A.json b/data/source_assets/multi_hazard/deforestation/000021/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..1d03fce119252d5334e4828acdf1c69fdfa0c3bc --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000021__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/questions/B.json b/data/source_assets/multi_hazard/deforestation/000021/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..b7e14bdb83a3bcdf4815e816944e696520c02259 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000021__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/questions/C.json b/data/source_assets/multi_hazard/deforestation/000021/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..3b80d8873789944905ff73506c52b7d62a48295b --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000021__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/questions/D.json b/data/source_assets/multi_hazard/deforestation/000021/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..4f705dac674ad3ded8326f5769af37c3265e7a9e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000021__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..f821c4e36d57aaa25198b501638bc9e473a6b566 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:11Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "319ccbd7ead98a1d7a4938301e8dc6e117fea8ecc1525c11e9c852f401fc646a", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..9d2c9ece74709e48726b223a9c3faa09dbd1f74c Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000021/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..46e4afbbb6c394316f2d1434eb4a41c8a6330307 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:00Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 27.325439453125, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "90de4c225ff8bce0b7d12243d711f29f903de76c87b91f388ad628e1ae52d0fb", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..adb4b8f35287f17af2daf23e256e392806d12b8a Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000021/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..ac427a80564d10c288f069e4158ad5ce845a4f71 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.6580305099487305, + "minimum": -0.8351951837539673, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "636da92e40145d7ddeac43341bf54171cb8fcf349e2de0071c039f44d1ea989b", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..9c03eadb1afe9e6786cc3ab567d886d6194cc87b Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000021/rasters/ndvi_change.tif differ diff --git 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0000000000000000000000000000000000000000..0183b50312fadd03132a639d77242d51453d2392 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000022__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/questions/B.json b/data/source_assets/multi_hazard/deforestation/000022/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..e95377aed6cf26b390d8f2c11a1fe190a610a078 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000022__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/questions/C.json b/data/source_assets/multi_hazard/deforestation/000022/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..d017bb6240b6daf97082ea0ffad98f1544bfa8cf --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000022__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/questions/D.json b/data/source_assets/multi_hazard/deforestation/000022/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..f0c7c96635ac8b20495138ddcc1ac3226aa38582 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000022__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..de3af09d3d758f46ddf08f3d27dc7f7ff2b61604 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:13Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "c276438184bfdf4809cf8b6c120c5bd17501671355119957f90d1ab39d386b50", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..5682e94ac477d46fb0e2a797e9ddc82f472c3c28 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000022/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..229e9f80df9319a302f64ec09a4c21ec4c4a49f4 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:02Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 59.0087890625, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "60207cbaa2382dcd19625908a3370d02d72792da9f8d39010216b92446addfd5", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..cb3aa6858cdf9bb4f419c974a85db142e48136d0 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000022/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..5504635f9aa41301f28b68bcd7eea02daa3b0e79 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.45645755529403687, + "minimum": -0.7670766115188599, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "d4c10da4d77c1cd8c03d929a3a3057b8f0268f60d240d37a8b27a482b0b8e57e", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..56bf211e7d88554f69a38d4f8588b8b993c2e63b Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000022/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..8d4a9bae44831f8a28d994d7932b87bf9e4b7577 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 2732, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.1380615234375, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000022/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "cf47a74db1d7c793fb452ac869cb865fd0f56b521435419c2fae37f862991faf", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -64.19456019833555, + -10.80066267820473 + ], + [ + -64.03456019833556, + -10.80066267820473 + ], + [ + -64.03456019833556, + -10.64066267820473 + ], + [ + -64.19456019833555, + -10.64066267820473 + ], + [ + -64.19456019833555, + -10.80066267820473 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "cf47a74db1d7c793fb452ac869cb865fd0f56b521435419c2fae37f862991faf", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + -64.19456019833555, + 0.0, + -0.0012500000000000011, + -10.64066267820473 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..463a0d64d92cba64f3024373d3b3ac3bb993ba33 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..121fd37e1ed8500e60c5ae861180b3d6fed94182 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 2571, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.0, + "mean": 0.0692138671875, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000022/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "21c1ef2450df4501fc42aed847bfd1b35306f15b6c3e0da0381458b13690e791", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -64.19456019833555, + -10.80066267820473 + ], + [ + -64.03456019833556, + -10.80066267820473 + ], + [ + -64.03456019833556, + -10.64066267820473 + ], + [ + -64.19456019833555, + -10.64066267820473 + ], + [ + -64.19456019833555, + -10.80066267820473 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10S_070W", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000022/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 1.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "21c1ef2450df4501fc42aed847bfd1b35306f15b6c3e0da0381458b13690e791", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": 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"area_ha": 11.275, + "mean_value": 0.207596, + "pixel_count": 6 + }, + "none": { + "area_ha": 120.265, + "mean_value": 0.04669, + "pixel_count": 64 + }, + "severe": { + "area_ha": 0.0, + "mean_value": null, + "pixel_count": 0 + } + }, + "dominant_class": "none", + "mask_pixel_count": 83 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:19Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "ComputeRegionStats", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/gt/C.json b/data/source_assets/multi_hazard/deforestation/000023/gt/C.json new file mode 100644 index 0000000000000000000000000000000000000000..687ac9060642e037d259edb5b21cc8f64d8b2e04 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/gt/C.json @@ -0,0 +1,47 @@ +{ + "answer": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 82.683, + "median_pct_delta": 200.0, + "metric": "area_agreement", + "verdict": "sources_disagree" + }, + "case_id": "deforestation__000023__C", + "evidence": { + "agree": false, + "agreement_score_0_100": 0.0, + "median_area_ha": 82.683, + "median_pct_delta": 200.0, + "metric": "area_agreement", + "pairwise_categorical_kappa": { + "hansen_loss__radd_alerts": 0.0, + "hansen_loss__tmf_loss": 0.407369, + "tmf_loss__radd_alerts": 0.0 + }, + "pairwise_iou": { + "hansen_loss__radd_alerts": 0.0, + "hansen_loss__tmf_loss": 0.257426, + "tmf_loss__radd_alerts": 0.0 + }, + "pairwise_state_agreement": { + "hansen_loss__radd_alerts": 0.994934, + "hansen_loss__tmf_loss": 0.995422, + "tmf_loss__radd_alerts": 0.997314 + }, + "score_contract": "bounded_0_100_area_agreement_v1", + "verdict": "sources_disagree" + }, + "min_tool_calls": 5, + "provenance": { + "computed_at": "2026-10-14T12:04:19Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "CompareAcrossSources", + "LoadCachedRaster", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/gt/D.json b/data/source_assets/multi_hazard/deforestation/000023/gt/D.json new file mode 100644 index 0000000000000000000000000000000000000000..af7203214f51da05c85222ecf271396be5f4ce0c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/gt/D.json @@ -0,0 +1,37 @@ +{ + "answer": { + "availability_status": "found", + "nearest_highway_representative_distance_m": 396.491 + }, + "case_id": "deforestation__000023__D", + "evidence": { + "asset_geometry_contract": "cached_feature_representative_point_v1", + "critical_infrastructure": { + "highways": { + "in_buffer": 2, + "in_footprint": 0, + "nearest": { + "distance_m": 396.491, + "name": "Highways OSM" + } + } + }, + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "footprint_area_ha": 155.968, + "footprint_handle": "hansen_loss__event", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_within_footprint": 3.32 + }, + "min_tool_calls": 3, + "provenance": { + "computed_at": "2026-10-14T12:04:19Z", + "computed_by": "experimental/c05_true_source_rebuild/rebuild_downstream.py", + "source_mode": "provider_exact_rebuild" + }, + "required_tools": [ + "LoadCachedRaster", + "QueryExposure", + "Terminate" + ], + "schema_version": "geodisaster_multi_hazard_gt_v2" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/metadata.json b/data/source_assets/multi_hazard/deforestation/000023/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c4776d729bd6c4744b61d7e4990576171ff654e --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/metadata.json @@ -0,0 +1,45 @@ +{ + "accepted": true, + "aoi_id": "deforestation__sample_000023", + "built_at": "2026-05-17T04:45:59Z", + "candidate_index": 23, + "domain": "deforestation", + "domain_label": "Deforestation", + "end_date": "2022-09-30", + "event_name": "Madre de Dios clearing AOI 23", + "geometry": { + "coordinates": [ + [ + [ + -69.43139565814587, + -12.535294235664118 + ], + [ + -69.27139565814588, + -12.535294235664118 + ], + [ + -69.27139565814588, + -12.375294235664118 + ], + [ + -69.43139565814587, + -12.375294235664118 + ], + [ + -69.43139565814587, + -12.535294235664118 + ] + ] + ], + "type": "Polygon" + }, + "sample_id": "sample_000023", + "source_contract_version": "c05_true_source_v1", + "source_mode": "provider_exact_rebuild", + "source_mode_expected": "gee_live", + "split": "train_val", + "start_date": "2022-06-01", + "target_date": "2022", + "window_label": "2022" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/osm/pois.geojson b/data/source_assets/multi_hazard/deforestation/000023/osm/pois.geojson new file mode 100644 index 0000000000000000000000000000000000000000..1e96d34801bd80d095dcf07f6d00f01365ce6129 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/osm/pois.geojson @@ -0,0 +1,59 @@ +{ + "features": [ + { + "geometry": { + "coordinates": [ + -69.3172486, + -12.5710353 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 91, + "name": "Highways OSM", + "osm_id": 110965668, + "osm_type": "way", + "row": 127 + }, + "type": "Feature" + }, + { + "geometry": { + "coordinates": [ + -69.3748232, + -12.4970901 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 45, + "name": "Highways OSM", + "osm_id": 1026597155, + "osm_type": "way", + "row": 97 + }, + "type": "Feature" + }, + { + "geometry": { + "coordinates": [ + -69.2527646, + -12.375163 + ], + "type": "Point" + }, + "properties": { + "category": "highways", + "col": 127, + "name": "Highways OSM", + "osm_id": 1370078747, + "osm_type": "way", + "row": 0 + }, + "type": "Feature" + } + ], + "type": "FeatureCollection" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/panels/cross_source_comparison.png b/data/source_assets/multi_hazard/deforestation/000023/panels/cross_source_comparison.png new file mode 100644 index 0000000000000000000000000000000000000000..af1c0427be914b17833812c0ad6bdfebc9fd21c5 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/panels/cross_source_comparison.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4993edde9060ac8b3acda3a6cccd1a1ba23ff3dff8ee100fa43d60f6728b8774 +size 37586 diff --git a/data/source_assets/multi_hazard/deforestation/000023/panels/exposure_overlay.png b/data/source_assets/multi_hazard/deforestation/000023/panels/exposure_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..e9ab8e9a839d4aec606a4742aee57e687b4072d6 --- 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0000000000000000000000000000000000000000..0b6f74978b698c8a93945f25511d99b5c17cdcac --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af2f25410440d96e7c3320da594aaaf56735914c6eb05ce478be67ea280b34a3 +size 301392 diff --git a/data/source_assets/multi_hazard/deforestation/000023/quality_report.json b/data/source_assets/multi_hazard/deforestation/000023/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..807f7956eee38dc8a1301240ffa42cd7ae1b9a51 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/quality_report.json @@ -0,0 +1,20 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:46:15Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:04Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 85.968017578125, + "sample_id": "sample_000023", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/questions/A.json b/data/source_assets/multi_hazard/deforestation/000023/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..556cfeba3300e2d290cd3f4b7938c62fe23af837 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000023__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000023", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/questions/B.json b/data/source_assets/multi_hazard/deforestation/000023/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..517a2415fc139072f9c47464aba3f06755d8df91 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000023__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "null", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000023", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/questions/C.json b/data/source_assets/multi_hazard/deforestation/000023/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..0f62548fdd8ed24ff572f9da0dbc24319040e572 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000023__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000023", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/questions/D.json b/data/source_assets/multi_hazard/deforestation/000023/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..09266b99f50f02938b028ab7392937ac5b15275c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000023__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000023", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000023/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000023/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..05185f3bc7bdc0f2891e2d84a255a1fd0f8c3f83 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000023/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:15Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000023/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + 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"2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:46:20Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "deforestation", + "gapfilled_layers": [ + "hansen_loss__event" + ], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:04Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 55.120849609375, + "sample_id": "sample_000024", + "scene_coverage_min": 1.0, + "source_count": 6, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/questions/A.json b/data/source_assets/multi_hazard/deforestation/000024/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..64f0aafd3d1bc22322740c349f5014384b96d8c0 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "deforestation__000024__A", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "units": "string", + "value": "float" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + }, + "status": "string" + }, + "family": "A", + "question_text": "Using the declared binary Hansen Global Forest Change event mask, compute the AOI area whose loss year equals 2022. Treat finite value 1 as 2022 loss and 0 as valid no-2022-loss, exclude declared nodata, sum grid-aware WGS84 ellipsoidal cell areas, and report hectares rounded to three decimals.", + "sample_id": "deforestation__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "measurement_contract": { + "version": "hansen_2022_binary_grid_area_v1", + "source_handle": "hansen_loss__event", + "source_product": "UMD Hansen Global Forest Change 2025 v1.13 loss-year band", + "event_year": 2022, + "mask_values": "finite binary 0=no 2022 loss, 1=loss year 2022", + "nodata_rule": "exclude declared nodata and non-finite pixels", + "area_rule": "WGS84 ellipsoidal cell area for geographic grids; affine determinant for projected grids", + "rounding": "three decimals in hectares" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/questions/B.json b/data/source_assets/multi_hazard/deforestation/000024/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..cb89a5d4ed7e71a62ef3512336b3ec0a6cff656c --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "hansen_loss__event", + "ndvi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "deforestation__000024__B", + "domain": "deforestation", + "expected_answer_shape": { + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "analysis_scope": "string", + "by_class": { + "major": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "minor": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "none": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + }, + "severe": { + "area_ha": "float", + "mean_value": "float", + "pixel_count": "int" + } + }, + "dominant_class": "string", + "mask_pixel_count": "int" + }, + "status": "string" + }, + "family": "B", + "question_text": "Inside the declared binary Hansen 2022 loss footprint, classify every finite Sentinel-2 NDVI drop (pre minus post) using half-open bins: none [-10,0.15), minor [0.15,0.30), major [0.30,0.50), and severe [0.50,10). Return the pixel-count-dominant class and its fraction; break an exact tie by the stated class order.", + "sample_id": "deforestation__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "hansen_masked_s2_ndvi_drop_v1", + "value_handle": "ndvi_change", + "value_formula": "Sentinel-2 NDVI pre minus post", + "mask_handle": "hansen_loss__event", + "analysis_population": "finite NDVI-change pixels where the finite Hansen mask equals 1", + "intervals": { + "none": [ + -10.0, + 0.15 + ], + "minor": [ + 0.15, + 0.3 + ], + "major": [ + 0.3, + 0.5 + ], + "severe": [ + 0.5, + 10.0 + ] + }, + "interval_boundary": "lower inclusive, upper exclusive", + "dominance": "largest pixel count", + "tie_break": "first class in none, minor, major, severe order", + "area_rule": "grid-aware area of class pixels" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/questions/C.json b/data/source_assets/multi_hazard/deforestation/000024/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..d65893e1fbfd00c00f5d05dc240a7f0195f3a3cc --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "deforestation__000024__C", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_area_ha": "float", + "median_pct_delta": "float", + "verdict": "string", + "agreement_score_0_100": "float", + "score_contract": "string", + "per_source_area_ha": { + "hansen_loss": "float", + "tmf_loss": "float", + "radd_alerts": "float" + }, + "pairwise_pct_delta": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_iou": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_state_agreement": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + }, + "pairwise_categorical_kappa": { + "hansen_loss__tmf_loss": "float", + "hansen_loss__radd_alerts": "float", + "tmf_loss__radd_alerts": "float" + } + } + }, + "family": "C", + "question_text": "Compare the declared Hansen 2022 loss mask, JRC TMF 2022 annual-loss mask, and RADD 2022-06-01 through 2022-09-30 alert mask (low or high confidence). Compute grid-aware source areas and symmetric pairwise differences |A-B|/((A+B)/2)*100, using 0 when both areas are zero. The sources agree when the median of the three differences is <=25.0%. Return the decision, bounded score max(0,100-median), all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "deforestation__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "deforestation_area_agreement_v2", + "source_handles": [ + "hansen_loss__event", + "tmf_loss__event", + "radd_alerts__event" + ], + "source_masks": { + "hansen_loss__event": "finite binary 1 where loss year equals 2022", + "tmf_loss__event": "finite binary 1 where Dec2022 is deforested and Dec2021 is not", + "radd_alerts__event": "0=no event-window alert, 1=low confidence, 2=high confidence; values >0 are alert" + }, + "area_rule": "grid-aware WGS84 ellipsoidal or projected affine-determinant cell areas", + "pairwise_delta_formula": "abs(A-B) / ((A+B)/2) * 100; 0 when A=B=0", + "aggregate": "median of three unrounded pairwise percent differences", + "agreement_rule": "median_pct_delta <= 25.0", + "score_rule": "max(0, 100 - median_pct_delta)", + "spatial_diagnostics": "common-valid cells on exactly co-registered grids; diagnostics do not alter the area verdict", + "rounding": "compute from unrounded areas; emit area/percent/score to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/questions/D.json b/data/source_assets/multi_hazard/deforestation/000024/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..0609edd136d8668680f2426845edd9c6475b0a94 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/questions/D.json @@ -0,0 +1,59 @@ +{ + "available_handles": [ + "hansen_loss__event" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "deforestation__000024__D", + "domain": "deforestation", + "expected_answer_shape": { + "status": "string", + "answer": { + "nearest_highway_representative_distance_m": "float", + "availability_status": "string" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "highways": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "Using the declared binary Hansen 2022 forest-loss footprint and cached OSM highway features, find the nearest distinct feature representative point to any positive loss-raster cell center in a local azimuthal-equidistant metric projection. Use exact GeoJSON geometry, not cached row/column hints. Return the distance or an explicit null when no highway representative is cached, plus the 5,000 m context count, in-footprint count, nearest name, footprint area, and WorldPop footprint sum.", + "sample_id": "deforestation__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "deforestation_nearest_highway_representative_v2", + "footprint_handle": "hansen_loss__event", + "asset_category": "highways", + "asset_unit": "one representative point per distinct cached OSM feature", + "coordinate_authority": "GeoJSON geometry in EPSG:4326; row/col properties are non-authoritative", + "distance_method": "local_azimuthal_equidistant_cell_center_v1", + "context_buffer_m": 5000, + "context_buffer_boundary": "inclusive", + "no_cached_feature_rule": "null distance/name, zero counts, availability_status=no_cached_highway_representative", + "in_footprint_rule": "transform representative geometry to raster CRS and locate it with the raster affine transform", + "population_rule": "sum non-negative WorldPop people-per-pixel values on the exactly co-registered footprint grid" + } +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.json b/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..61c776e8e3b535bf597aa06a22acc8e70d314679 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2000" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:20Z", + "geotiff_path": "source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.tif", + "handle": "forest_mask__pre", + "modality": "forest_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "1fcc7ea2db87a8b14cbfa62d7c1c3b0f7fdcbdac6032aadfcef27e52c66393f0", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 treecover2000>30", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.tif b/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..c309708fce021de5c39ea27b9a9674fe5e4c45ec Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000024/rasters/forest_mask__pre.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.json b/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.json new file mode 100644 index 0000000000000000000000000000000000000000..2b2748082cef61fcad49338d6e6de5bbeabed4e3 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.json @@ -0,0 +1,25 @@ +{ + "acquisition_dates": [ + "2022" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:07Z", + "gap_fill_method": "masked binary pixels filled as 0 from the live product mask", + "gap_fill_value": 0.0, + "geotiff_path": "source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.tif", + "handle": "hansen_loss__event", + "modality": "forest_loss_mask", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 55.120849609375, + "scale_m": 30, + "scene_coverage": 1.0, + "sha256": "53f795a7e1bd4232ae8bf8116a4363189ca633e0e67ece6d0424e64ecb9e430e", + "shape": [ + 128, + 128 + ], + "source": "UMD/hansen/global_forest_change_2025_v1_13 lossyear=2022", + "source_mode": "gee_live", + "units": "binary" +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.tif b/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..2345e701004b1471864f03032a63a4f1d939723f Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000024/rasters/hansen_loss__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.json b/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..141305e72120e1f7cd029ed27ad39eed6cf309a4 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndvi__pre", + "s2_ndvi__post" + ], + "formula": "s2_ndvi_pre - s2_ndvi_post", + "geotiff_path": "source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.tif", + "handle": "ndvi_change", + "maximum": 0.7595909833908081, + "minimum": -0.5913469791412354, + "modality": "s2_ndvi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "78aed6bf14b3a1dcc622d006298544781e0fc55d5767b9c6a7600f319c77a5da", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDVI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.tif b/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..c99f293bf607e1a3672d6ddab725d4a7f34a67e1 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000024/rasters/ndvi_change.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.json b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.json new file mode 100644 index 0000000000000000000000000000000000000000..30fd1877210545f7288a8ad60bdc3ce7a78c259f --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1352, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.0, + "mean": 0.0001220703125, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000024/rasters/radd_alerts__event.tif", + "resampling": "max", + "sha256": "566a1fbb3e932d922257627a59e4008c37b6f4e72ad478e0d32f3ed1fa73dfee", + "units": "confidence_class_1_low_2_high", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + 117.1206888911359, + 0.8882651620595444 + ], + [ + 117.2806888911359, + 0.8882651620595444 + ], + [ + 117.2806888911359, + 1.0482651620595445 + ], + [ + 117.1206888911359, + 1.0482651620595445 + ], + [ + 117.1206888911359, + 0.8882651620595444 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10N_110E", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.tif", + "handle": "radd_alerts__event", + "license": "CC BY 4.0", + "maximum": 2.0, + "minimum": 0.0, + "modality": "radd_alert_confidence", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "566a1fbb3e932d922257627a59e4008c37b6f4e72ad478e0d32f3ed1fa73dfee", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + 117.1206888911359, + 0.0, + -0.0012500000000000002, + 1.0482651620595445 + ], + "units": "encoded alert date and confidence class", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.tif b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.tif new file mode 100644 index 0000000000000000000000000000000000000000..d595a1cb7f1af570a92f20560e02e504c6d17b18 Binary files /dev/null and b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event.tif differ diff --git a/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event_binary.json b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event_binary.json new file mode 100644 index 0000000000000000000000000000000000000000..118cc051d8b6bde2dbc77e4b8de145c6f5b1aa68 --- /dev/null +++ b/data/source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event_binary.json @@ -0,0 +1,97 @@ +{ + "band_or_field": "date_conf", + "citation_url": "https://www.wur.nl/en/research/products-services/radd-forest-disturbance-alert", + "constant": false, + "crs": "EPSG:4326", + "derivation": "decode date_conf; 2xxxx=low confidence, 3xxxx=high confidence; preserve confidence as 1/2 and write a binary event-window mask separately", + "fetch_provenance": { + "output": { + "bytes": 1329, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.0, + "mean": 6.103515625e-05, + "minimum": 0.0, + "native_resolution_m": 10, + "path": "work/rebuilt/deforestation/000024/rasters/radd_alerts__event_binary.tif", + "resampling": "max", + "sha256": "5962343594e749c8c1349a99e9a6d9cdfb1f48301e22193458ac7cc54d6d4763", + "units": "binary", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + 117.1206888911359, + 0.8882651620595444 + ], + [ + 117.2806888911359, + 0.8882651620595444 + ], + [ + 117.2806888911359, + 1.0482651620595445 + ], + [ + 117.1206888911359, + 1.0482651620595445 + ], + [ + 117.1206888911359, + 0.8882651620595444 + ] + ] + ], + "type": "Polygon" + }, + "end_date": "2022-09-30", + "start_date": "2022-06-01" + }, + "upstream": { + "dataset": "wur_radd_alerts", + "pixel_meaning": "date_conf", + "tile_id": "10N_110E", + "version": "v20261011" + } + }, + "geotiff_path": "source_assets/multi_hazard/deforestation/000024/rasters/radd_alerts__event_binary.tif", + "handle": "radd_alerts__event_binary", + "license": "CC BY 4.0", + "maximum": 1.0, + "minimum": 0.0, + "modality": "radd_event_window_mask", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 10, + "nodata": -9999.0, + "product": "RADD Forest Disturbance Alerts v1", + "provider": "Wageningen University & Research / Global Forest Watch", + "scale_m": 10, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "5962343594e749c8c1349a99e9a6d9cdfb1f48301e22193458ac7cc54d6d4763", + "shape": [ + 128, + 128 + ], + "source": "Wageningen University & Research / Global Forest Watch — RADD Forest Disturbance Alerts v1", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "retain low- and high-confidence alerts whose first-alert date is within each AOI start/end window", + "transform": [ + 0.0012499999999999734, + 0.0, + 117.1206888911359, + 0.0, + -0.0012500000000000002, + 1.0482651620595445 + ], + "units": "binary", + "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles", + "valid_fraction": 1.0 +}