Upload GeoDisasterBenchmark (attempt 1) (part 9)

data/source_assets/multi_hazard/deforestation/000005/quality_report.json

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+{
+  "all_sources_ok": true,
+  "c05_exact_source_overlay": true,
+  "c05_overlay_completed_at": "2026-10-14T11:58:47Z",
+  "completed_at": "2026-05-17T04:45:18Z",
+  "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"
+}

data/source_assets/multi_hazard/deforestation/000005/questions/A.json

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+{
+  "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"
+  }
+}

data/source_assets/multi_hazard/deforestation/000005/questions/B.json

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+{
+  "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"
+  }
+}

data/source_assets/multi_hazard/deforestation/000005/questions/C.json

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+{
+  "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"
+  }
+}

data/source_assets/multi_hazard/deforestation/000005/questions/D.json

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+{
+  "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"
+  }
+}

data/source_assets/multi_hazard/deforestation/000005/rasters/forest_mask__pre.json

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+{
+  "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"
+}

data/source_assets/multi_hazard/deforestation/000005/rasters/hansen_loss__event.json

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+{
+  "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"
+}

data/source_assets/multi_hazard/deforestation/000005/rasters/ndvi_change.json

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+{
+  "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
+}

data/source_assets/multi_hazard/deforestation/000005/rasters/radd_alerts__event.json

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+{
+  "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
+}

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": 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": 1963,
+      "constant": false,
+      "export_grid": {
+        "crs": "EPSG:4326",
+        "height": 128,
+        "width": 128
+      },
+      "maximum": 1.0,
+      "mean": 0.021484375,
+      "minimum": 0.0,
+      "native_resolution_m": 10,
+      "path": "work/rebuilt/deforestation/000005/rasters/radd_alerts__event_binary.tif",
+      "resampling": "max",
+      "sha256": "ab048d0e5c80ef9ac35253fb955b0f76645a7930dc1ee8eed6ff9e97c7ed1d05",
+      "units": "binary",
+      "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_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": "ab048d0e5c80ef9ac35253fb955b0f76645a7930dc1ee8eed6ff9e97c7ed1d05",
+  "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": "binary",
+  "upstream_identifier": "projects/radar-wur/raddalert/v1; GFW date_conf GeoTIFF tiles",
+  "valid_fraction": 1.0
+}

data/source_assets/multi_hazard/deforestation/000005/rasters/s2_ndvi__post.json

@@ -0,0 +1,24 @@
+{
+  "acquisition_dates": [
+    "2022-06-01",
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data/source_assets/multi_hazard/deforestation/000005/rasters/s2_ndvi__pre.json

@@ -0,0 +1,24 @@
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data/source_assets/multi_hazard/deforestation/000005/rasters/tmf_loss__event.json

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data/source_assets/multi_hazard/deforestation/000005/tabular/worldpop.json

@@ -0,0 +1,37 @@
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data/source_assets/multi_hazard/deforestation/000005/trajectories/A.json

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data/source_assets/multi_hazard/deforestation/000005/trajectories/B.json

@@ -0,0 +1,266 @@
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data/source_assets/multi_hazard/deforestation/000005/trajectories/C.json

@@ -0,0 +1,536 @@
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data/source_assets/multi_hazard/deforestation/000005/trajectories/D.json

@@ -0,0 +1,194 @@
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data/source_assets/multi_hazard/deforestation/000007/aoi.geojson

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data/source_assets/multi_hazard/deforestation/000007/available_handles.json

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data/source_assets/multi_hazard/deforestation/000007/gt/A.json

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data/source_assets/multi_hazard/deforestation/000007/gt/B.json

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data/source_assets/multi_hazard/deforestation/000007/gt/C.json

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data/source_assets/multi_hazard/deforestation/000007/gt/D.json

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data/source_assets/multi_hazard/deforestation/000007/metadata.json

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data/source_assets/multi_hazard/deforestation/000007/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": "2026-05-17T04:45:42Z",
+  "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": 60.784912109375,
+  "sample_id": "sample_000007",
+  "scene_coverage_min": 1.0,
+  "source_count": 6,
+  "source_mode": "provider_exact_rebuild"
+}

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"
+  }
+}

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"
+  }
+}

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"
+  }
+}

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"
+  }
+}

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"
+}

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"
+}

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": "source_assets/multi_hazard/deforestation/000007/rasters/ndvi_change.tif",
+  "handle": "ndvi_change",
+  "maximum": 0.48764246702194214,
+  "minimum": -0.3749449849128723,
+  "modality": "s2_ndvi_change",
+  "scale_m": 10,
+  "schema_version": "geodisaster_derived_sidecar_v2",
+  "sha256": "8b97c91b9f9d079328fdb89dbded83aadcdbc9acdf0446ea6f7caef3ddab0b80",
+  "shape": [
+    128,
+    128
+  ],
+  "source": "derived from Sentinel-2 NDVI",
+  "source_mode": "provider_exact_rebuild",
+  "units": "index",
+  "valid_fraction": 1.0
+}