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observations?", + "sample_id": "drought__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000020/questions/B.json b/data/source_assets/multi_hazard/drought/000020/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..8232731e5761299dcff48ac789caf739b86db640 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000020/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000020__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Deccan drought AOI 20 on 2024-08-15?", + "sample_id": "drought__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000020/questions/C.json b/data/source_assets/multi_hazard/drought/000020/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..b70de66dc4c6c91425713de0f26ed0753a7e7dc6 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000020/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000020__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": 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b/data/source_assets/multi_hazard/drought/000020/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000020__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for Deccan drought AOI 20?", + "sample_id": "drought__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000020/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000020/rasters/chirps_spi__target.json new file mode 100644 index 0000000000000000000000000000000000000000..61b9221e964bdc481b5d5ad469477489d88f52a2 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+ "sample_id": "sample_000021", + "scene_coverage_min": 1.0, + "source_count": 4, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/drought/000021/questions/A.json b/data/source_assets/multi_hazard/drought/000021/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..75b47a2de8978a77c5444206178df888f7e29d4a --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000021/questions/A.json @@ -0,0 +1,44 @@ +{ + "available_handles": [ + "modis_ndvi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "drought__000021__A", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "ndvi_z_score": "float", + "baseline_mean": "float" + } + }, + "family": "A", + "question_text": "What is the AOI-mean MODIS NDVI z-score for Horn of Africa drought AOI 21 on 2024-08-15, using finite pixels in the declared target raster and the six declared same-season historical baseline observations?", + "sample_id": "drought__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000021/questions/B.json b/data/source_assets/multi_hazard/drought/000021/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..00d60232d8d8561d0535f7f68122b3122ac7910f --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000021/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000021__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Horn of Africa drought AOI 21 on 2024-08-15?", + "sample_id": "drought__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000021/questions/C.json b/data/source_assets/multi_hazard/drought/000021/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..689f38a0bdfe4ad99a7e4fbee0380a4642458867 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000021/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000021__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for Horn of Africa drought AOI 21?", + "sample_id": "drought__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000021/questions/D.json b/data/source_assets/multi_hazard/drought/000021/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..a308abe35f8e08779b177ab23fbb74f0982cae0c --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000021/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000021__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for Horn of Africa drought AOI 21?", + "sample_id": "drought__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000021/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000021/rasters/chirps_spi__target.json new 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b/data/source_assets/multi_hazard/drought/000021/rasters/chirps_spi__target.tif new file mode 100644 index 0000000000000000000000000000000000000000..91bc854761aa099c0f21a0ad62e8f8be42c670ad Binary files /dev/null and b/data/source_assets/multi_hazard/drought/000021/rasters/chirps_spi__target.tif differ diff --git a/data/source_assets/multi_hazard/drought/000021/rasters/era5_soil_moisture__target.json b/data/source_assets/multi_hazard/drought/000021/rasters/era5_soil_moisture__target.json new file mode 100644 index 0000000000000000000000000000000000000000..136995ccc348fce588de351df19a4f616f1a578c --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000021/rasters/era5_soil_moisture__target.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-07-30", + "2024-08-31" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:33Z", + "geotiff_path": "source_assets/multi_hazard/drought/000021/rasters/era5_soil_moisture__target.tif", + "handle": 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a/data/source_assets/multi_hazard/drought/000022/questions/A.json b/data/source_assets/multi_hazard/drought/000022/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..17d7a2da753a5e79742751ec112a8deb0b1b66d9 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000022/questions/A.json @@ -0,0 +1,44 @@ +{ + "available_handles": [ + "modis_ndvi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "drought__000022__A", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "ndvi_z_score": "float", + "baseline_mean": "float" + } + }, + "family": "A", + "question_text": "What is the AOI-mean MODIS NDVI z-score for California Central Valley drought AOI 22 on 2024-08-15, using finite pixels in the declared target raster and the six declared same-season historical baseline observations?", + "sample_id": "drought__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000022/questions/B.json b/data/source_assets/multi_hazard/drought/000022/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..2f67d210872301d377900d7fd1fd6a455b1d0262 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000022/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000022__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over California Central Valley drought AOI 22 on 2024-08-15?", + "sample_id": "drought__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000022/questions/C.json b/data/source_assets/multi_hazard/drought/000022/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..6c1f0a8c0cf15969e13171665507c9ce0283d206 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000022/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000022__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": 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"drought__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000022/questions/D.json b/data/source_assets/multi_hazard/drought/000022/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..e6d37be6bf56741e6f0d0594363b3ac20a384b1a --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000022/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000022__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for California Central Valley drought AOI 22?", + "sample_id": "drought__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000022/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000022/rasters/chirps_spi__target.json new file mode 100644 index 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pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000024/questions/B.json b/data/source_assets/multi_hazard/drought/000024/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..3af2b12e5f44f76e474a945342e5c1548a042dd7 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000024/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000024__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Deccan drought AOI 24 on 2024-08-15?", + "sample_id": "drought__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000024/questions/C.json b/data/source_assets/multi_hazard/drought/000024/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..2de07447d74f47f757ddabb6ef409e5fdf3d14ff --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000024/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000024__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for Deccan drought AOI 24?", + "sample_id": "drought__000024", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000024/questions/D.json b/data/source_assets/multi_hazard/drought/000024/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..204e8652f591505bf4a81de3eb7bcb87e9002e62 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000024/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000024__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + 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}, + "evidence": { + "ndvi_z_score": "float", + "baseline_mean": "float" + } + }, + "family": "A", + "question_text": "What is the AOI-mean MODIS NDVI z-score for Horn of Africa drought AOI 25 on 2024-08-15, using finite pixels in the declared target raster and the six declared same-season historical baseline observations?", + "sample_id": "drought__000025", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000025/questions/B.json b/data/source_assets/multi_hazard/drought/000025/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..ea3bd1a074e252d564020c064d272eefa16457f1 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000025/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000025__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Horn of Africa drought AOI 25 on 2024-08-15?", + "sample_id": "drought__000025", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000025/questions/C.json b/data/source_assets/multi_hazard/drought/000025/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..fe89fc68d8dcd5c65b9f78a97e14ee36445b24b3 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000025/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000025__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for Horn of Africa drought AOI 25?", + "sample_id": "drought__000025", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git 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+ "distance_method": "string", + "asset_geometry_contract": "string" + } + }, + "family": "D", + "question_text": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for Horn of Africa drought AOI 25?", + "sample_id": "drought__000025", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000025/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000025/rasters/chirps_spi__target.json new file mode 100644 index 0000000000000000000000000000000000000000..ddca5232096136142dca566bd0f572f672c00477 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000025/rasters/chirps_spi__target.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-07-30", + "2024-08-31" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:51Z", + "geotiff_path": "source_assets/multi_hazard/drought/000025/rasters/chirps_spi__target.tif", + "handle": "chirps_spi__target", + "modality": "chirps_spi", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 5500, + "scene_coverage": 1.0, + "sha256": "04a985a37bb1a8ba1f33966e56e1d8ea079743338151ae8f69cd92708f024983", + "shape": [ + 128, + 128 + ], + "source": "UCSB-CHG/CHIRPS/DAILY same-window z-score", + "source_mode": 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b/data/source_assets/multi_hazard/drought/000026/available_handles.json @@ -0,0 +1,27 @@ +{ + "baselines_available": [ + "chirps_spi", + "era5_soil_moisture", + "modis_ndvi_anomaly" + ], + "domain": "drought", + "handles": [ + "chirps_spi__target", + "era5_soil_moisture__target", + "low_chirps_spi", + "modis_ndvi__target", + "viirs_lst__target" + ], + "osm_categories": [ + "hospitals", + "schools", + "fire_stations", + "police_stations", + "power_substations", + "water_treatment", + "highways", + "rail_stations" + ], + "sample_id": "drought__000026", + "schema_version": "geodisaster_available_handles_v2" +} diff --git a/data/source_assets/multi_hazard/drought/000026/baselines/chirps_spi.csv b/data/source_assets/multi_hazard/drought/000026/baselines/chirps_spi.csv new file mode 100644 index 0000000000000000000000000000000000000000..ac0620375a171071d04cdb49e93001cca9c61463 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/baselines/chirps_spi.csv @@ -0,0 +1,8 @@ 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index 0000000000000000000000000000000000000000..b9fda8ee0e48d64b007424c3006fc3da0b0e3bcb --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/baselines/modis_ndvi_anomaly.csv @@ -0,0 +1,8 @@ +date,value,is_target +2018-08-15,0.491299,false +2019-08-15,0.526344,false +2020-08-15,0.464619,false +2021-08-15,0.463088,false +2022-08-15,0.480325,false +2023-08-15,0.545563,false +2024-08-15,0.519901,true diff --git a/data/source_assets/multi_hazard/drought/000026/drought_normalization.json b/data/source_assets/multi_hazard/drought/000026/drought_normalization.json new file mode 100644 index 0000000000000000000000000000000000000000..af6e908b47462e928e1047d86e3896505596f4f3 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/drought_normalization.json @@ -0,0 +1,72 @@ +{ + "chirps_spi_pixel_class_intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 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"float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for California Central Valley drought AOI 26?", + "sample_id": "drought__000026", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000026/questions/D.json b/data/source_assets/multi_hazard/drought/000026/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..dc80680ee6e89903e295c78f007831b98049308f --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000026__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for California Central Valley drought AOI 26?", + "sample_id": "drought__000026", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.json new file mode 100644 index 0000000000000000000000000000000000000000..6ce118db8f561793866cc166f4ffbbee7b53737d --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-07-30", + "2024-08-31" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:53Z", + "geotiff_path": "source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.tif", + "handle": "chirps_spi__target", + "modality": "chirps_spi", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 5500, + "scene_coverage": 1.0, + "sha256": "f3b7668264a998b760d43f3972457b0e070bd95d0a254388250b791d4ec3b1eb", + "shape": [ + 128, + 128 + ], + "source": "UCSB-CHG/CHIRPS/DAILY same-window z-score", + "source_mode": "gee_live", + "units": "z_score" +} diff --git a/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.tif b/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.tif new file mode 100644 index 0000000000000000000000000000000000000000..77cb9d78f17b147aae9fb1f56bc978a1066951fa Binary files /dev/null and b/data/source_assets/multi_hazard/drought/000026/rasters/chirps_spi__target.tif differ diff --git a/data/source_assets/multi_hazard/drought/000026/rasters/era5_soil_moisture__target.json b/data/source_assets/multi_hazard/drought/000026/rasters/era5_soil_moisture__target.json new file mode 100644 index 0000000000000000000000000000000000000000..49830646dcfd0a26e5acc9f55fba404a762ecd2d --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000026/rasters/era5_soil_moisture__target.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-07-30", + "2024-08-31" + ], + 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0000000000000000000000000000000000000000..1408fa4982d0f8269d1df40b6cf312366ae95993 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/baselines/era5_soil_moisture.csv @@ -0,0 +1,8 @@ +date,value,is_target +2018-08-15,0.459602,false +2019-08-15,0.413928,false +2020-08-15,0.441545,false +2021-08-15,0.423591,false +2022-08-15,0.412965,false +2023-08-15,0.359863,false +2024-08-15,0.451268,true diff --git a/data/source_assets/multi_hazard/drought/000028/baselines/modis_ndvi_anomaly.csv b/data/source_assets/multi_hazard/drought/000028/baselines/modis_ndvi_anomaly.csv new file mode 100644 index 0000000000000000000000000000000000000000..a2291afb4c289105cd2fec9988850defba1cd962 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/baselines/modis_ndvi_anomaly.csv @@ -0,0 +1,8 @@ +date,value,is_target +2018-08-15,0.576281,false +2019-08-15,0.388595,false +2020-08-15,0.634745,false +2021-08-15,0.466124,false +2022-08-15,0.655218,false +2023-08-15,0.526053,false +2024-08-15,0.615275,true diff --git a/data/source_assets/multi_hazard/drought/000028/drought_normalization.json b/data/source_assets/multi_hazard/drought/000028/drought_normalization.json new file mode 100644 index 0000000000000000000000000000000000000000..af6e908b47462e928e1047d86e3896505596f4f3 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/drought_normalization.json @@ -0,0 +1,72 @@ +{ + "chirps_spi_pixel_class_intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "fit_scope": "accepted multi-hazard drought AOIs only", + "fit_split": "train", + "interpretation": "Benchmark-relative low-value stress states; not a claim of standard SPI severe drought.", + "schema_version": "geodisaster_drought_normalization_v1", + "sources": { + "chirps_spi__target": 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a/data/source_assets/multi_hazard/drought/000028/questions/A.json b/data/source_assets/multi_hazard/drought/000028/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..868bb0d2221f91114160bbed7d90d206543b1889 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/questions/A.json @@ -0,0 +1,44 @@ +{ + "available_handles": [ + "modis_ndvi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "drought__000028__A", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "ndvi_z_score": "float", + "baseline_mean": "float" + } + }, + "family": "A", + "question_text": "What is the AOI-mean MODIS NDVI z-score for Deccan drought AOI 28 on 2024-08-15, using finite pixels in the declared target raster and the six declared same-season historical baseline observations?", + "sample_id": "drought__000028", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000028/questions/B.json b/data/source_assets/multi_hazard/drought/000028/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..93187c4d62e2aae5b33de002df6d44842b07df08 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000028__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Deccan drought AOI 28 on 2024-08-15?", + "sample_id": "drought__000028", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000028/questions/C.json b/data/source_assets/multi_hazard/drought/000028/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..f7681beedb105d6af03ced3119ee317925cc9dad --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000028__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for Deccan drought AOI 28?", + "sample_id": "drought__000028", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000028/questions/D.json b/data/source_assets/multi_hazard/drought/000028/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..dfc616d515ffb0fe30b79a0759dd7cc055cc2f54 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000028/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000028__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for Deccan drought AOI 28?", + "sample_id": "drought__000028", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000028/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000028/rasters/chirps_spi__target.json new file mode 100644 index 0000000000000000000000000000000000000000..5d2b08bdeb3847eba3cb4ddb014b4cf6421e8475 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a/data/source_assets/multi_hazard/drought/000029/baselines/chirps_spi.csv b/data/source_assets/multi_hazard/drought/000029/baselines/chirps_spi.csv new file mode 100644 index 0000000000000000000000000000000000000000..036bc7ec528ba7e52b8ea667ed183a0385b36806 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/baselines/chirps_spi.csv @@ -0,0 +1,8 @@ +date,value,is_target +2018-08-15,0.0,false +2019-08-15,5.394747,false +2020-08-15,0.0,false +2021-08-15,6.061782,false +2022-08-15,2.34366,false +2023-08-15,7.025558,false +2024-08-15,17.450005,true diff --git a/data/source_assets/multi_hazard/drought/000029/baselines/era5_soil_moisture.csv b/data/source_assets/multi_hazard/drought/000029/baselines/era5_soil_moisture.csv new file mode 100644 index 0000000000000000000000000000000000000000..6e00f8a543a1534abc9970e6fa0da7c4dda3c00a --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/baselines/era5_soil_moisture.csv @@ -0,0 +1,8 @@ +date,value,is_target 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baseline observations?", + "sample_id": "drought__000029", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000029/questions/B.json b/data/source_assets/multi_hazard/drought/000029/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..0428fc6db40c0657609be276bad0faead29f5d45 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000029__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over Horn of Africa drought AOI 29 on 2024-08-15?", + "sample_id": "drought__000029", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000029/questions/C.json b/data/source_assets/multi_hazard/drought/000029/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..52f80de77273329ea8f02a2a77af87228cfab692 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000029__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for Horn of Africa drought AOI 29?", + "sample_id": "drought__000029", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000029/questions/D.json b/data/source_assets/multi_hazard/drought/000029/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..11aaa5c6e1742131ce1f66419432ade72e39ef04 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000029__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for Horn of Africa drought AOI 29?", + "sample_id": "drought__000029", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.json new file mode 100644 index 0000000000000000000000000000000000000000..fece630d0cbe78da1faf0d51498403a7b5245842 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-07-30", + "2024-08-31" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:47:05Z", + "geotiff_path": "source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.tif", + "handle": "chirps_spi__target", + "modality": "chirps_spi", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 5500, + "scene_coverage": 1.0, + "sha256": "6b77310b4c2427a0d2f546f5bd8944ef9f444fa7f9298632d60b92c0bd8902d3", + "shape": [ + 128, + 128 + ], + "source": "UCSB-CHG/CHIRPS/DAILY same-window z-score", + "source_mode": "gee_live", + "units": "z_score" +} diff --git a/data/source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.tif b/data/source_assets/multi_hazard/drought/000029/rasters/chirps_spi__target.tif new file mode 100644 index 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+++ b/data/source_assets/multi_hazard/drought/000029/tabular/worldpop.json @@ -0,0 +1,37 @@ +{ + "constant": false, + "download": { + "download_crs": "EPSG:4326", + "download_shape": [ + 128, + 128 + ], + "download_transform": [ + 0.0012499999999999734, + 0.0, + 39.52414045108524, + 0.0, + -0.0012500000000000011, + 3.297395997290523, + 0.0, + 0.0, + 1.0 + ] + }, + "maximum": 1.4849106073379517, + "minimum": 0.10364122688770294, + "provider": "WorldPop", + "resampling": "bilinear_to_aoi_grid", + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "5dc6b7d9dc395c9b1f97d23183f3c04e7242f66db7d07518d2e6200f41cf8518", + "shape": [ + 128, + 128 + ], + "source_label": "WorldPop/GP/100m/pop 2020 population-count clip", + "source_mode": "provider_exact_rebuild", + "units": "people_per_pixel", + "upstream_identifier": "WorldPop/GP/100m/pop", + "valid_fraction": 1.0, + "year": 2020 +} diff --git a/data/source_assets/multi_hazard/drought/000029/tabular/worldpop.tif 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0000000000000000000000000000000000000000..47da6619845d7703816e72ffa5c16e58e8eba405 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/available_handles.json @@ -0,0 +1,27 @@ +{ + "baselines_available": [ + "chirps_spi", + "era5_soil_moisture", + "modis_ndvi_anomaly" + ], + "domain": "drought", + "handles": [ + "chirps_spi__target", + "era5_soil_moisture__target", + "low_chirps_spi", + "modis_ndvi__target", + "viirs_lst__target" + ], + "osm_categories": [ + "hospitals", + "schools", + "fire_stations", + "police_stations", + "power_substations", + "water_treatment", + "highways", + "rail_stations" + ], + "sample_id": "drought__000030", + "schema_version": "geodisaster_available_handles_v2" +} diff --git a/data/source_assets/multi_hazard/drought/000030/baselines/chirps_spi.csv b/data/source_assets/multi_hazard/drought/000030/baselines/chirps_spi.csv new file mode 100644 index 0000000000000000000000000000000000000000..83afeb4698e68f321b2592c727f4bb1de47cc17a --- /dev/null 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b/data/source_assets/multi_hazard/drought/000030/baselines/modis_ndvi_anomaly.csv new file mode 100644 index 0000000000000000000000000000000000000000..43f8d643e68954a44f71e7fc3db49afece7c8ca6 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/baselines/modis_ndvi_anomaly.csv @@ -0,0 +1,8 @@ +date,value,is_target +2018-08-15,0.500296,false +2019-08-15,0.526527,false +2020-08-15,0.457438,false +2021-08-15,0.473655,false +2022-08-15,0.468626,false +2023-08-15,0.533038,false +2024-08-15,0.486082,true diff --git a/data/source_assets/multi_hazard/drought/000030/drought_normalization.json b/data/source_assets/multi_hazard/drought/000030/drought_normalization.json new file mode 100644 index 0000000000000000000000000000000000000000..af6e908b47462e928e1047d86e3896505596f4f3 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/drought_normalization.json @@ -0,0 +1,72 @@ +{ + "chirps_spi_pixel_class_intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], 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"source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/drought/000030/questions/A.json b/data/source_assets/multi_hazard/drought/000030/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..0fdcf4c93a1817013550225450b65de0a44ba9d7 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/questions/A.json @@ -0,0 +1,44 @@ +{ + "available_handles": [ + "modis_ndvi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "drought__000030__A", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "ndvi_z_score": "float", + "baseline_mean": "float" + } + }, + "family": "A", + "question_text": "What is the AOI-mean MODIS NDVI z-score for California Central Valley drought AOI 30 on 2024-08-15, using finite pixels in the declared target raster and the six declared same-season historical baseline observations?", + "sample_id": "drought__000030", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "anomaly_contract": { + "version": "drought_modis_raster_target_anomaly_v2", + "target_handle": "modis_ndvi__target", + "target_statistic": "arithmetic mean of finite AOI pixels", + "baseline": "six non-target values in modis_ndvi_anomaly.csv", + "standard_deviation": "sample standard deviation (ddof=1)", + "formula": "(target_aoi_mean - baseline_mean) / baseline_sample_std", + "target_date_source": "the single is_target=true baseline row", + "valid_ndvi_range": [ + -1.0, + 1.0 + ] + } +} diff --git a/data/source_assets/multi_hazard/drought/000030/questions/B.json b/data/source_assets/multi_hazard/drought/000030/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..b276af35fdbc28d989884c75d8109a6dfcb4c965 --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "chirps_spi__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "drought__000030__B", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high_spi": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null", + "classification_contract": "string" + } + }, + "family": "B", + "question_text": "What is the dominant train-relative CHIRPS SPI pixel quartile over California Central Valley drought AOI 30 on 2024-08-15?", + "sample_id": "drought__000030", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "drought_train_relative_spi_quartiles_v2", + "source_handle": "chirps_spi__target", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low_spi": [ + -1e+30, + -0.1381913721561432 + ], + "q2_mid_low_spi": [ + -0.1381913721561432, + 0.6701323390007019 + ], + "q3_mid_high_spi": [ + 0.6701323390007019, + 1.3935534954071045 + ], + "q4_high_spi": [ + 1.3935534954071045, + 1e+30 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "analysis_scope": "all finite AOI pixels", + "dominance": "maximum pixel count; ties use declared class order", + "interpretation": "benchmark-relative SPI quartiles, not universal drought severity" + } +} diff --git a/data/source_assets/multi_hazard/drought/000030/questions/C.json b/data/source_assets/multi_hazard/drought/000030/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..97a0654ae3ec0026685f689452039828d3d2cf3d --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "drought__000030__C", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "median_pairwise_iou": "float", + "minimum_iou": "float", + "verdict": "string", + "thresholds": { + "chirps_spi__target": "float", + "modis_ndvi__target": "float", + "era5_soil_moisture__target": "float" + }, + "threshold_fit_split": "string", + "stress_mask_contract": "string", + "pairwise_iou": { + "chirps_spi__modis_ndvi": "float", + "chirps_spi__era5_soil_moisture": "float", + "modis_ndvi__era5_soil_moisture": "float" + }, + "per_source": { + "chirps_spi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "modis_ndvi": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + }, + "era5_soil_moisture": { + "handle": "string", + "area_ha": "float", + "scale_m": "integer", + "units": "string" + } + } + } + }, + "family": "C", + "question_text": "Do the train-relative bottom-quartile CHIRPS SPI, MODIS NDVI, and ERA5 soil-moisture stress masks reach median pairwise IoU 0.30 for California Central Valley drought AOI 30?", + "sample_id": "drought__000030", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "drought_train_relative_stress_iou_v2", + "source_handles": [ + "chirps_spi__target", + "modis_ndvi__target", + "era5_soil_moisture__target" + ], + "mask_rule": "source pixel < that source's training-pixel q25", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count_per_source": 294912, + "pair_metric": "intersection over union on common valid co-registered cells", + "aggregate": "median of three rounded pairwise IoUs", + "minimum_iou": 0.3, + "empty_union_rule": "IoU=1 when both source masks are empty" + } +} diff --git a/data/source_assets/multi_hazard/drought/000030/questions/D.json b/data/source_assets/multi_hazard/drought/000030/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..f967049d34d7da8ec9d2f964b7dbded0b010dafd --- /dev/null +++ b/data/source_assets/multi_hazard/drought/000030/questions/D.json @@ -0,0 +1,56 @@ +{ + "available_handles": [ + "low_chirps_spi" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "drought__000030__D", + "domain": "drought", + "expected_answer_shape": { + "status": "string", + "answer": { + "schools_in_footprint": "integer" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "schools": { + "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": "How many schools are inside the train-relative bottom-quartile CHIRPS SPI footprint for California Central Valley drought AOI 30?", + "sample_id": "drought__000030", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "drought_school_low_spi_exposure_v2", + "footprint_handle": "low_chirps_spi", + "footprint_derivation": "chirps_spi__target < training-pixel q25", + "threshold": -0.1381913721561432, + "threshold_fit_split": "train", + "requested_asset": "one representative point per cached OSM school feature", + "membership": "authoritative GeoJSON representative point maps to a positive raster cell", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers" + } +} diff --git a/data/source_assets/multi_hazard/drought/000030/rasters/chirps_spi__target.json b/data/source_assets/multi_hazard/drought/000030/rasters/chirps_spi__target.json new file mode 100644 index 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224511 diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/urban_expansion/000001/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..0d548b6e95b7d2e5984b7b4e46b5713ead149482 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fb4c618d8a75a4abaf0106fbbca621660c5e494f2dfb4f77e144cb0416db96fe +size 422878 diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/quality_report.json b/data/source_assets/multi_hazard/urban_expansion/000001/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..7d43adf295c270c2666b307a6088dafa2cc8bf1b --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/quality_report.json @@ -0,0 +1,16 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:37:58Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "urban_expansion", + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:05Z", + "panels_ok": true, + "sample_id": "sample_000001", + "scene_coverage_min": 1.0, + "source_count": 8, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/questions/A.json b/data/source_assets/multi_hazard/urban_expansion/000001/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..e2c3229d25a9a3559053131a36675e6d572c796a --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000001__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000001", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000001/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..627e69917761cff3f799168e92879ff8c88c7907 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000001__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000001", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000001/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..3ea6dd25228fcd83a1cbe55bc694362124f0a03d --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000001__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000001", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000001/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..b49959293736f1cc32ea5f6319d62edda5ebbbba --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000001__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000001", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..795bc3dd8b932de05cfd5e8f6d8f65816aa49484 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "68d2fa38d1ee7630344869ef46a117780f686a11230bdd0c6391496017f53dec", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..b6a713895a90bfdaf7c00163712481607ca8cf56 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..ff7af2b79adee3e37a0c9698ffa14771cad52331 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:37:42Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.tif", + "handle": "dynamic_world_built__post", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "88d6820e9dbeabc3a3e262475cc6e519d65dda484174791148da0bbde38ea96d", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..366d2b0d1278b1120b17838f7668e5760fff16ec Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..c90b09875bd53f799f0e70c4c0c31a0079759230 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2019-01-01", + "2020-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:37:40Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.tif", + "handle": "dynamic_world_built__pre", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "24c3e7068e8b74d90c13c16cb3911c4ef4f02bfe3af7d2ff149cbf1e102e7356", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..7207bb964323ec33e70ab9aaf889aec5353864b2 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/dynamic_world_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..596cce8df913b321296c609e1ab413e20a3bb1bd --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2025" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:37:49Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.tif", + "handle": "ghsl_built__post", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "eed38cdedf7fc8a24e1d37274b98cd0001a1c15f36a3ad220f69c0055a91d491", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2025 built_surface>0", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..7b10eac38903ef39c8bb4ca8763a5f113513f529 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..23ce5876360379e7a37a2eae5d479c17e50ed8fd --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__pre.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2020" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:37:45Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000001/rasters/ghsl_built__pre.tif", + "handle": "ghsl_built__pre", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "b28ef16eef77372bb96bd094ba2589c7259637dacfa6b8be0ab7d28198a7110f", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2020 built_surface>0", + "source_mode": "gee_live", + "units": "probability" 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+version https://git-lfs.github.com/spec/v1 +oid sha256:42bcfbc11d33db9f6eef0b6931791d100abb0c39153813492ef95426cf309ec1 +size 85587 diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/panels/primary_index_overlay.png b/data/source_assets/multi_hazard/urban_expansion/000002/panels/primary_index_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..bf5a194c524ba46edec478fb6a8680f7883a29c9 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/panels/primary_index_overlay.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a0a01aa64c4118a3eb820c1a6ea65419bba87a69faf32ef76e62d35423be801a +size 208891 diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/urban_expansion/000002/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..f1bb55abdc91dac58bb73de6562a33251cba55e4 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d917fe7887d1e714b844cbd1e6f8363a02e79084e459365c24cab98f16120f0e +size 395225 diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/quality_report.json b/data/source_assets/multi_hazard/urban_expansion/000002/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..9b5d6a54af4df7757ab9a22e884f180f2a1813e7 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/quality_report.json @@ -0,0 +1,16 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:37:47Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "urban_expansion", + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:05Z", + "panels_ok": true, + "sample_id": "sample_000002", + "scene_coverage_min": 1.0, + "source_count": 8, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/questions/A.json b/data/source_assets/multi_hazard/urban_expansion/000002/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..4a86967668fc8d76836336d52d48d3f07b89c4fe --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000002__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000002", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000002/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..c67c0272735050146718ddac6c428bdd7f04d2ef --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000002__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000002", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000002/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..3ac3f544fa61490a152b32da131f84466e58490b --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000002__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000002", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000002/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..0c89d96aa27e99526d4583f2115d0b6deb8520b0 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000002__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000002", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000002/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000002/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..96940a6805b6b0982f73b9b4859df7de50aa752c --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000002/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000002/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "1cc13b02a3177eff62e268fdb8b9cebdd631e7cb1d243c9b78bcc395fe9257df", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff 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b/data/source_assets/multi_hazard/urban_expansion/000003/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000003__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000003", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000003/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..07480155e92bc7668982665dd0fba8eb00054f03 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000003__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000003", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000003/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..d3ee40ee6ca114490e706a7502803ba9480fe1cf --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000003__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000003", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000003/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..262d7d943ded65a45adac0e75cc76f4cdd07bc57 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000003__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000003", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..1ca2038cc41ad3f1a0164eb4a922fae5566a3c6c --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "3f9e1f20eb9434eb21e4dec3c21d76eb86197756ce306f93a5a70c65a26328a7", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..8970b3d633c574f4479aa8c5c133d0dba15d33ed Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..c4da34950404ea9ceac90cb26b0da8e29aa5e027 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:40Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.tif", + "handle": "dynamic_world_built__post", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "b1f924e6d729dd627202b74294627d0f5ef92572726498522f4a00fef76c9d38", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..9a9f9d38692c27c2e87ad79a7cfd6e3adf0e3d92 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..8a9d5ff4ab6a327e8ee62b5305887b427ce00c86 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2019-01-01", + "2020-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:37Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.tif", + "handle": "dynamic_world_built__pre", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "fa5f0e9ed10451abd90e9b2e3a18347b4793e735deb8525792fe68d3b4a7737a", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..f82e0b7398884d69236d25c67c66dc669f5023e8 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/dynamic_world_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..a601891ae99e985c95c771f0c725a7ee1ba948be --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2025" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:44Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.tif", + "handle": "ghsl_built__post", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "1fe84b711b5eb790a9309b6d45fc2e74bbfae03115c388a3fc8a6c088c5b93c7", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2025 built_surface>0", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..4e2d1fb4306929d75618aeb08536b638b062d4af Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..717b44db871de3142e5a7d4863567a22c856b2fe --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2020" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:42Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.tif", + "handle": "ghsl_built__pre", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "d8f84bdf6e1b99f68037f9a327ec736294e5ef94e3adea76e9a5d99843fb5ec4", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2020 built_surface>0", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..c9bc1f6ed1f69e26454fbffc233989ecd3bb22a3 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..0358ca9c901992d603f41f913cd6dedd46d077d4 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.json @@ -0,0 +1,28 @@ +{ + "constant": false, + "derived_from": [ + "ghsl_built__pre", + "ghsl_built__post" + ], + "formula": "ghsl_2025 > 0.55 and ghsl_2020 <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.tif", + "handle": "ghsl_built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "ghsl_built_up_gain", + "scale_m": 100, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "713030a8d6ebd38a9d41b7c30ed07264811c8968a1889430339e29cbe755a4b2", + "shape": [ + 128, + 128 + ], + "source": "derived from GHSL 2020 and 2025 built surface", + "source_epochs": [ + 2020, + 2025 + ], + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..6a676a3193319eae7db421e0f99a8dda3fc34522 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ghsl_built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..48366c3c7d78fca374a5828facaa431d2fb13ec7 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndbi__pre", + "s2_ndbi__post" + ], + "formula": "s2_ndbi_post - s2_ndbi_pre", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.tif", + "handle": "ndbi_change", + "maximum": 0.4926263391971588, + "minimum": -0.2703024744987488, + "modality": "s2_ndbi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "c836cbb9ed50acccf737a8a1d59a2da2ae6d8fa7d1f377f816ce138659c3d5d7", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDBI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.tif b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..4291c0058f50212c56869bbfebb1c607eab1efdc Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/ndbi_change.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000003/rasters/s2_ndbi__post.json b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/s2_ndbi__post.json new file mode 100644 index 0000000000000000000000000000000000000000..84eff8c699a5d13b3d6e57efe5a36a46b34bbf6a --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000003/rasters/s2_ndbi__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + 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+ } + ], + "type": "FeatureCollection" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/panels/cross_source_comparison.png b/data/source_assets/multi_hazard/urban_expansion/000004/panels/cross_source_comparison.png new file mode 100644 index 0000000000000000000000000000000000000000..eb1291dd3fb2571aca7e0c68fc5d3d3cfdba6fc2 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/panels/cross_source_comparison.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:369566aee51ca337aa839d34b3dfbbb17620a8f85f1946f8196292ba2244ed31 +size 49142 diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/panels/exposure_overlay.png b/data/source_assets/multi_hazard/urban_expansion/000004/panels/exposure_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..01114652b95b295479a17e0110827eacd080bc6b --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/panels/exposure_overlay.png 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/dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03e7b000276bad9c6a0de662cb31a242e506e333925486c62b70644eaace2d2d +size 383617 diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/quality_report.json b/data/source_assets/multi_hazard/urban_expansion/000004/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..8ccc07c10ac0739f358c3573210cf54c03b59d8a --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/quality_report.json @@ -0,0 +1,16 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:39:47Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "urban_expansion", + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:05Z", + "panels_ok": true, + "sample_id": "sample_000004", + "scene_coverage_min": 1.0, + "source_count": 8, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/questions/A.json b/data/source_assets/multi_hazard/urban_expansion/000004/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..cc72cebbc00d07376230cd5737395a171bb00bf1 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000004__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000004", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000004/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..15e445b66650fb1cfc4e8a3f0f96b94ab0a6a597 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000004__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000004", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000004/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..ec9093d9dc0f9ade0274785f3aebaffa7b8d9d26 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000004__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000004", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000004/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..e97881ebe9faa34cae99387fcb8e6fa35cd5dddc --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000004__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000004", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..2311e26e3a813ea03a2d7358b524fcd43a779779 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "150e122fabbefeaeabe067418d76375b4b8be0bb2face18a690ba91385feabcb", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..9bd8330cd89918f0a44e1ee7ebaf673b8b272018 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..df4a3449ed3afddb8983037f3ec2ebdab3baa493 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:54Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.tif", + "handle": "dynamic_world_built__post", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "b4370d7886850bbb4c62811779f815ffe6087f8ebca770e96dfdd7e8886d672c", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..2276436881148b40c7a089354e0d77f81e1d8b42 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__post.tif differ diff --git 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probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..39772c9e8f9212f5c77b44c57c9cce3b1dd32e3b Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/dynamic_world_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000004/rasters/ghsl_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/ghsl_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..8e02cf557d6b641be941252e2c5f5586eec6ca17 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000004/rasters/ghsl_built__post.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2025" + ], + "clear_fraction_in_aoi": null, 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0.0, + "panels_completed_at": "2026-10-14T12:04:06Z", + "panels_ok": true, + "sample_id": "sample_000005", + "scene_coverage_min": 1.0, + "source_count": 8, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/questions/A.json b/data/source_assets/multi_hazard/urban_expansion/000005/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..9e5a8ac7ec6bd67140c92e75e2f5aec0a028ec0f --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000005__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000005/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..f1ed3ff466dbc997fb814076f54fb0ec90bd58f2 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000005__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000005/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..479f273bc0f4bd38d4c1f7a17d5d4e1d1397e7d3 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000005__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000005/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..5c3926d3df8fde3f62327023ae69cfdb419fd373 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000005__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000005", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..abb45b8ff4b104f4c7208c7109e7b6f935445f1f --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "6a2a8ced4305e577b8cd3c4e814a151a7f000eaa613f78bdf31efe771714a848", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..4471b4d39c4ff2c3e927df0eb3d14d9741d3b0b3 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..4d420c2dfc38a3e0ac04529cd3a707244346db6c --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:41Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.tif", + "handle": "dynamic_world_built__post", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "e05277c48334506874869e07112a3a5b48507db7dbf6db5e931e28cd5dd533fd", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..901ca1a436b9c83cf83528b408e7fc99121ffe5e Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..5c7ee1849adb39cc8db8153f96b2fd591135cdae --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2019-01-01", + "2020-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:40Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.tif", + "handle": "dynamic_world_built__pre", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "513a85863511ab0d91362c17642d8d4e05f0b83f769e0c634dad849a0cff1d78", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..095fbf3c01f70d40532a7091128791acadf834d2 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/dynamic_world_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..22bd048f36a5f48016611037add0441db474cc7c --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2025" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:48Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.tif", + "handle": "ghsl_built__post", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "efe28046e3fca51dc319f2ded8a21250bf6187b775a0a8c2b08b6fbebac9db66", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2025 built_surface>0", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..60861ec91e4d65debc982d63701f2157ebf3905a Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..98179a5669a3e4c0b2b0274abaebd95bb6425f28 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.json @@ -0,0 +1,22 @@ +{ + "acquisition_dates": [ + "2020" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:44Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.tif", + "handle": "ghsl_built__pre", + "modality": "ghsl_built_surface", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 100, + "scene_coverage": 1.0, + "sha256": "e6f9e98cefd89b3cac887cec2160cacd31e95412b352b52c51b96ab96048655b", + "shape": [ + 128, + 128 + ], + "source": "JRC/GHSL/P2023A/GHS_BUILT_S 2020 built_surface>0", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.tif new file mode 100644 index 0000000000000000000000000000000000000000..2cd943b23825c8079223bc9ef242a0f9f7235914 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built__pre.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..cb7874b35729a27fd0fdf2517ae242e76be06f63 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.json @@ -0,0 +1,28 @@ +{ + "constant": false, + "derived_from": [ + "ghsl_built__pre", + "ghsl_built__post" + ], + "formula": "ghsl_2025 > 0.55 and ghsl_2020 <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.tif", + "handle": "ghsl_built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "ghsl_built_up_gain", + "scale_m": 100, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "774742cda9264f97802c0695a714d8101a21fd32988975bdaf06f6774bd6d65a", + "shape": [ + 128, + 128 + ], + "source": "derived from GHSL 2020 and 2025 built surface", + "source_epochs": [ + 2020, + 2025 + ], + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..f01839fafead1ee0855d66dc26d920095e0dbacc Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ghsl_built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.json new file mode 100644 index 0000000000000000000000000000000000000000..101671f9f46a8fe295526fd9061b65d757ad05e0 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s2_ndbi__pre", + "s2_ndbi__post" + ], + "formula": "s2_ndbi_post - s2_ndbi_pre", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.tif", + "handle": "ndbi_change", + "maximum": 0.5386096835136414, + "minimum": -0.5634141564369202, + "modality": "s2_ndbi_change", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "6529cba0d7eb4ee8854e0e97120f6bc3731cee49683bc321f4f288f1eb4c02b4", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-2 NDBI", + "source_mode": "provider_exact_rebuild", + "units": "index", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.tif new file mode 100644 index 0000000000000000000000000000000000000000..9cd6f6db2a4c73f9c5a4bd832eea621c306b9107 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/ndbi_change.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.json new file mode 100644 index 0000000000000000000000000000000000000000..0419bf1bb4c3efc3b4b12b14ed568c40fabe07cc --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:56Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.tif", + "handle": "s2_ndbi__post", + "modality": "sentinel2_ndbi", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "c95c18f8caff5f442c385c99f440dae59a4634de61f0e96e6d3c34a600106fc8", + "shape": [ + 128, + 128 + ], + "source": "COPERNICUS/S2_SR_HARMONIZED NDBI", + "source_mode": "gee_live", + "units": "index" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.tif b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..f9c908693a40a3b5390b4e45f19712818c0c70d7 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__pre.json b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..d93d4a0db74a3c8303491b5409dcb7caa7f530e8 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2019-01-01", + "2020-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:53Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__pre.tif", + "handle": "s2_ndbi__pre", + "modality": "sentinel2_ndbi", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "9adbddb9403c8b6c26e2a0e569c7f16288a48a1880195056567ae8f5c4599c5f", + "shape": [ + 128, + 128 + ], + "source": "COPERNICUS/S2_SR_HARMONIZED NDBI", + "source_mode": "gee_live", + "units": "index" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000005/rasters/s2_ndbi__pre.tif 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77015 diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/panels/primary_index_overlay.png b/data/source_assets/multi_hazard/urban_expansion/000006/panels/primary_index_overlay.png new file mode 100644 index 0000000000000000000000000000000000000000..3b0b9f31ede8ce0080e1f8cb3475af0c4aae2277 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/panels/primary_index_overlay.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c564a52aaa45e99f9e53f20a007e555a3908000abc811a18c20bca6d31046b5 +size 209848 diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/panels/rgb_pre_post.png b/data/source_assets/multi_hazard/urban_expansion/000006/panels/rgb_pre_post.png new file mode 100644 index 0000000000000000000000000000000000000000..ff19b435ea37ad5c30bebb897dc15f2bd1802ab9 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/panels/rgb_pre_post.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3232698b05b75c587050f101fe2e93d8c78a715c32f3381e5379c38205cb627f +size 396873 diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/quality_report.json b/data/source_assets/multi_hazard/urban_expansion/000006/quality_report.json new file mode 100644 index 0000000000000000000000000000000000000000..d2aeda6d0c784379ebe3cf22a116d8e0aaab12cd --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/quality_report.json @@ -0,0 +1,16 @@ +{ + "all_sources_ok": true, + "c05_exact_source_overlay": true, + "c05_overlay_completed_at": "2026-10-14T11:58:47Z", + "completed_at": "2026-05-17T04:38:58Z", + "derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "urban_expansion", + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:06Z", + "panels_ok": true, + "sample_id": "sample_000006", + "scene_coverage_min": 1.0, + "source_count": 8, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/questions/A.json b/data/source_assets/multi_hazard/urban_expansion/000006/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..ba0ebf998c6b39229389e3488c42c6aa4a3ef3f1 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "urban_expansion__000006__A", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "primary_area_ha": "float", + "primary_handle": "string" + } + }, + "family": "A", + "question_text": "Using the declared binary Dynamic World built-probability gain mask, compute new built-up area between the 2019 and 2024 annual composites. A gain pixel has 2024 built probability >0.55 and 2019 built probability <=0.55. Sum exact grid-cell areas and return hectares with the source handle.", + "sample_id": "urban_expansion__000006", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "area_contract": { + "version": "dynamic_world_built_gain_area_v2", + "primary_handle": "built_gain", + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "pre_composite": "2019-01-01 to 2020-01-01", + "post_composite": "2024-01-01 to 2025-01-01", + "gain_rule": "post > 0.55 and pre <= 0.55", + "area_rule": "WGS84 ellipsoidal cell areas for geographic grids; affine determinant for projected grids", + "rounding": "round final hectares to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/questions/B.json b/data/source_assets/multi_hazard/urban_expansion/000006/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..916cc67196e12fd2fc7d85a223d7eef76fce8668 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/questions/B.json @@ -0,0 +1,82 @@ +{ + "available_handles": [ + "ndbi_change" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "urban_expansion__000006__B", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "contraction": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "stable": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "minor": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "major": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + } + }, + "analysis_scope": "string", + "mask_pixel_count": "null" + } + }, + "family": "B", + "question_text": "Classify every finite whole-AOI Sentinel-2 NDBI change pixel (2024 minus 2019). Use contraction [-10,-0.02), stable [-0.02,0.02), minor [0.02,0.18), and major [0.18,10). Return the pixel-count-dominant class, its fraction, and complete per-class pixel/area/mean evidence; ties follow the declared class order.", + "sample_id": "urban_expansion__000006", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "urban_whole_aoi_ndbi_change_v2", + "handle": "ndbi_change", + "change_direction": "NDBI_2024 - NDBI_2019", + "scope": "all finite AOI pixels", + "intervals": { + "contraction": [ + -10.0, + -0.02 + ], + "stable": [ + -0.02, + 0.02 + ], + "minor": [ + 0.02, + 0.18 + ], + "major": [ + 0.18, + 10.0 + ] + }, + "interval_rule": "lower-inclusive, upper-exclusive", + "dominance": "maximum pixel count", + "tie_break": "contraction, stable, minor, major order", + "area_rule": "exact grid-cell areas" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/questions/C.json b/data/source_assets/multi_hazard/urban_expansion/000006/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..00c70f00bfdcaf80dfb57e83669a8f5b8c52cdf6 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/questions/C.json @@ -0,0 +1,87 @@ +{ + "available_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "urban_expansion__000006__C", + "domain": "urban_expansion", + "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": { + "built_gain": "float", + "ghsl_built_gain": "float", + "worldcover_built_gain": "float" + }, + "pairwise_pct_delta": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_iou": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_state_agreement": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + }, + "pairwise_categorical_kappa": { + "built_gain__ghsl_built_gain": "float", + "built_gain__worldcover_built_gain": "float", + "ghsl_built_gain__worldcover_built_gain": "float" + } + } + }, + "family": "C", + "question_text": "Compare source-native built-gain masks from Dynamic World 2019-2024, GHSL 2020-2025, and ESA WorldCover 2020-2021. Compute exact source areas and symmetric pairwise differences abs(A-B)/((A+B)/2)*100 (zero when both areas are zero). Sources agree when the median difference is <=30%. Return the decision, bounded max(0,100-median) score, all source areas, and pairwise percent/IoU/state-agreement/kappa evidence.", + "sample_id": "urban_expansion__000006", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "urban_source_native_gain_agreement_v2", + "source_handles": [ + "built_gain", + "ghsl_built_gain", + "worldcover_built_gain" + ], + "source_epochs": { + "built_gain": "Dynamic World 2019-2024", + "ghsl_built_gain": "GHSL 2020-2025", + "worldcover_built_gain": "WorldCover 2020-2021" + }, + "construct": "source-native built-up gain; epoch/product differences are intentional", + "area_rule": "exact grid-cell areas", + "pairwise_delta_formula": "abs(A-B)/((A+B)/2)*100; zero when both zero", + "aggregate": "median of three unrounded differences", + "agreement_rule": "median_pct_delta <= 30", + "score_rule": "max(0,100-median_pct_delta)", + "rounding": "areas/percentages to three decimals" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/questions/D.json b/data/source_assets/multi_hazard/urban_expansion/000006/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..06b836d9ddc713399d3bf01c1d3bf83772e169b0 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/questions/D.json @@ -0,0 +1,63 @@ +{ + "available_handles": [ + "built_gain" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "urban_expansion__000006__D", + "domain": "urban_expansion", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + "population_within_footprint": "float", + "population_source": "string", + "footprint_area_ha": "float", + "critical_infrastructure": { + "hospitals": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + }, + "schools": { + "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 Dynamic World 2019-2024 built-gain footprint, sum the co-registered WorldPop 2020 people-per-pixel values inside positive gain cells. Return that population count plus footprint area, source label, and cached hospital/school representative-point context. This is population located in the footprint at the WorldPop reference epoch, not population growth caused by expansion.", + "sample_id": "urban_expansion__000006", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "urban_worldpop_in_built_gain_v2", + "footprint_handle": "built_gain", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_interpretation": "2020 population count located inside the built-gain footprint; not population added", + "grid_rule": "exact shape, CRS, and affine co-registration", + "sum_rule": "sum non-negative people-per-pixel values where built_gain == 1", + "context_buffer_m": 5000, + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature" + } +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.json b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.json new file mode 100644 index 0000000000000000000000000000000000000000..5d0e282ebe35d8caf08d5563e6ade52ce1d9a31f --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "dynamic_world_built__pre", + "dynamic_world_built__post" + ], + "formula": "dynamic_world_post > 0.55 and pre <= 0.55", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.tif", + "handle": "built_gain", + "maximum": 1.0, + "minimum": 0.0, + "modality": "built_up_gain", + "scale_m": 10, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "2484893b7834c956440e8d9381a5a4ded4549941f5e8bfd2218120a60e52dc90", + "shape": [ + 128, + 128 + ], + "source": "derived from Dynamic World built probability", + "source_mode": "provider_exact_rebuild", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.tif b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.tif new file mode 100644 index 0000000000000000000000000000000000000000..e6cc4cdedbb7dbcbd932823c19c8fca7ed7b74b8 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/built_gain.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.json b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.json new file mode 100644 index 0000000000000000000000000000000000000000..c586aba3b3f47b4512637e4a266b4e52e68aba41 --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2024-01-01", + "2025-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:41Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.tif", + "handle": "dynamic_world_built__post", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "8e5aff9f2789e7a2330315828178715bd80688d781d1f4e6bc6808032f184003", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +} diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.tif b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.tif new file mode 100644 index 0000000000000000000000000000000000000000..761dd22e3a739cbcb3814afb21697492b7d084f6 Binary files /dev/null and b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__post.tif differ diff --git a/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__pre.json b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__pre.json new file mode 100644 index 0000000000000000000000000000000000000000..d3613a076e74bb0deab993a5f9e829430f30884e --- /dev/null +++ b/data/source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__pre.json @@ -0,0 +1,23 @@ +{ + "acquisition_dates": [ + "2019-01-01", + "2020-01-01" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:38:38Z", + "geotiff_path": "source_assets/multi_hazard/urban_expansion/000006/rasters/dynamic_world_built__pre.tif", + "handle": "dynamic_world_built__pre", + "modality": "dynamic_world_built", + "n_bands": 1, + "nan_pct": 0.0, + "scale_m": 10, + "scene_coverage": 1.0, + "sha256": "b9d9853fdea3ebbe60b8de41c759fdae352b77c64eaf46c7a11c952a85631d5b", + "shape": [ + 128, + 128 + ], + "source": "GOOGLE/DYNAMICWORLD/V1 built probability", + "source_mode": "gee_live", + "units": "probability" +}