diff --git a/data/source_assets/multi_hazard/air_pollution/000009/questions/A.json b/data/source_assets/multi_hazard/air_pollution/000009/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..8ee9c8ed7f8fb7462682bc52c494599bf4049532 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "air_pollution__000009__A", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "peak_no2": "float", + "p95_no2": "float" + } + }, + "family": "A", + "question_text": "What is the peak Sentinel-5P NO2 column during Delhi pollution episode AOI 09?", + "sample_id": "air_pollution__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000009/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000009/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..393d441594e1ba3b42b742128dca6d05618b93e2 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000009__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Delhi pollution episode AOI 09?", + "sample_id": "air_pollution__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000009/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000009/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..e0cca82f13f349cbd852c51591a13b2dcbd65b8b --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/questions/C.json @@ -0,0 +1,106 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000009__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string", + "source_spatial_means": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "source_units": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "state_counts": { + "above_training_typical": "integer", + "below_training_typical": "integer", + "training_typical": "integer" + }, + "state_z_boundaries": "string", + "normalization_fit_split": "string", + "normalization_train_sample_ids": "string" + } + }, + "family": "C", + "question_text": "Do Sentinel-5P NO2, CAMS NO2, and MODIS AOD agree on the training-relative episode-intensity state for Delhi pollution episode AOI 09?", + "sample_id": "air_pollution__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000009/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000009/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..64a6ee403d691e12c466191604f2271b5f642281 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000009__D", + "domain": "air_pollution", + "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": "null", + "distance_m": "null" + } + }, + "schools": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "null", + "distance_m": "null" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string", + "threshold_contract": "string" + } + }, + "family": "D", + "question_text": "What population is located within the training-defined top-quartile S5P NO2-column footprint during Delhi pollution episode AOI 09?", + "sample_id": "air_pollution__000009", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "air_s5p_q4_population_exposure_v2", + "footprint_handle": "high_no2_column", + "footprint_derivation": "s5p_no2__peak >= training-pixel q75", + "threshold": 179.93792724609375, + "threshold_fit_split": "train", + "boundary_rule": "q4 lower bound is inclusive", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_sum": "sum non-negative people-per-pixel values in positive footprint cells", + "requested_assets": [ + "hospitals", + "schools" + ], + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers", + "zero_footprint_rule": "zero population/counts/area and null nearest values" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..c923baa5cb81391d1c8cb0f88c414efad1631335 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.json @@ -0,0 +1,104 @@ +{ + "band_or_field": "total_column_nitrogen_dioxide_surface", + "citation_url": "https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT", + "constant": false, + "crs": "EPSG:4326", + "derivation": "preserve physical units; no AOD substitution and no invented NO2 conversion", + "fetch_provenance": { + "output": { + "bytes": 53429, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.4387096598511562e-05, + "mean": 1.3745059732173104e-05, + "minimum": 1.3070502973278053e-05, + "native_resolution_m": 44528, + "path": "work/rebuilt/air_pollution/000009/rasters/cams_no2__peak.tif", + "resampling": "bilinear", + "sha256": "36334d68647bac80074d8407fe05e5fa2e859817f791fa0e619ef34c94915021", + "units": "kg m-2", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + 77.33180930068592, + 28.401927098553173 + ], + [ + 77.49180930068592, + 28.401927098553173 + ], + [ + 77.49180930068592, + 28.56192709855317 + ], + [ + 77.33180930068592, + 28.56192709855317 + ], + [ + 77.33180930068592, + 28.401927098553173 + ] + ] + ], + "type": "Polygon" + }, + "end_date_inclusive": "2024-11-12", + "start_date": "2024-11-08" + }, + "upstream": { + "aggregation": "maximum", + "bands": [ + "total_column_nitrogen_dioxide_surface" + ], + "collection": "ECMWF/CAMS/NRT", + "image_count": 574, + "native_resolution_m": 44528, + "resampling": "bilinear", + "units": "kg m-2", + "window_end_exclusive": "2024-11-14", + "window_start": "2024-11-07" + } + }, + "geotiff_path": "source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.tif", + "handle": "cams_no2__peak", + "license": "Copernicus CAMS attribution terms", + "maximum": 1.4387096598511562e-05, + "minimum": 1.3070502973278053e-05, + "modality": "total_column_nitrogen_dioxide_surface", + "n_bands": 1, + 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b/data/source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.tif new file mode 100644 index 0000000000000000000000000000000000000000..323e2ec42c20f44b27a321bfa73619a7a3f204dc Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000009/rasters/cams_no2__peak.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000009/rasters/high_no2_column.json b/data/source_assets/multi_hazard/air_pollution/000009/rasters/high_no2_column.json new file mode 100644 index 0000000000000000000000000000000000000000..4ea76037695ca0e4d0495147e91f37574ea694f7 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/rasters/high_no2_column.json @@ -0,0 +1,26 @@ +{ + "constant": true, + "derived_from": [ + "s5p_no2__peak", + "air_pollution/000009/normalization.json" + ], + "formula": "s5p_no2 >= train_pixel_q75", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000009/rasters/high_no2_column.tif", + "handle": "high_no2_column", + 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a/data/source_assets/multi_hazard/air_pollution/000009/rasters/s5p_co__peak.json b/data/source_assets/multi_hazard/air_pollution/000009/rasters/s5p_co__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..154491b183f3507e3d2e8c8a7d836472a1a912a7 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000009/rasters/s5p_co__peak.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-11-07", + "2024-11-14" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:45:43Z", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000009/rasters/s5p_co__peak.tif", + "handle": "s5p_co__peak", + "modality": "sentinel5p_co", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 5500, + "scene_coverage": 1.0, + "sha256": "a1fe7b01f9b75b21ef32c0fd6574f90156a8b1baacca386b5ca512b288e1787e", + "shape": [ + 128, + 128 + ], + "source": "COPERNICUS/S5P/OFFL/L3_CO CO", + "source_mode": "gee_live", + "units": 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NO2 column during Los Angeles pollution episode AOI 10?", + "sample_id": "air_pollution__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000010/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000010/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..f59af0fe49c4f82ad40b07dab54cd43867c2ba9e --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000010/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000010__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Los Angeles pollution episode AOI 10?", + "sample_id": "air_pollution__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000010/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000010/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..d07e8f41acfcc6cc83649f87a5d8e0425a9abe4d --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000010/questions/C.json @@ -0,0 +1,105 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000010__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + 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agree on the training-relative episode-intensity state for Los Angeles pollution episode AOI 10?", + "sample_id": "air_pollution__000010", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000010/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000010/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..d5ec03a2fe3b88de0382bc82cd96f2b935d431af --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000010/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000010__D", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + 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"derived_completed_at": "2026-10-14T12:03:58Z", + "derived_ok": true, + "domain": "air_pollution", + "gapfilled_layers": [], + "nan_pct_max": 0.0, + "panels_completed_at": "2026-10-14T12:04:12Z", + "panels_ok": true, + "raw_nan_pct_max_before_gapfill": 0.0, + "sample_id": "sample_000013", + "scene_coverage_min": 1.0, + "source_count": 5, + "source_mode": "provider_exact_rebuild" +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/questions/A.json b/data/source_assets/multi_hazard/air_pollution/000013/questions/A.json new file mode 100644 index 0000000000000000000000000000000000000000..3f9016aebb911c427a59b6758ae6c21244fa894c --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "air_pollution__000013__A", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "peak_no2": "float", + "p95_no2": "float" + } + }, + "family": "A", + "question_text": "What is the peak Sentinel-5P NO2 column during Delhi pollution episode AOI 13?", + "sample_id": "air_pollution__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000013/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..f04de065ad3faff41140fc50ba8875a918bc0821 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000013__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Delhi pollution episode AOI 13?", + "sample_id": "air_pollution__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000013/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..93525dc5544b84f985ba6959c0fcf2b288ce3a34 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/questions/C.json @@ -0,0 +1,105 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000013__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string", + "source_spatial_means": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "source_units": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "state_counts": { + "above_training_typical": "integer", + "below_training_typical": "integer" + }, + "state_z_boundaries": "string", + "normalization_fit_split": "string", + "normalization_train_sample_ids": "string" + } + }, + "family": "C", + "question_text": "Do Sentinel-5P NO2, CAMS NO2, and MODIS AOD agree on the training-relative episode-intensity state for Delhi pollution episode AOI 13?", + "sample_id": "air_pollution__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000013/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..bef18f002eb59c8d2e0c041edb139bfe7ce56581 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000013__D", + "domain": "air_pollution", + "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": "null", + "distance_m": "null" + } + }, + "schools": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "null", + "distance_m": "null" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string", + "threshold_contract": "string" + } + }, + "family": "D", + "question_text": "What population is located within the training-defined top-quartile S5P NO2-column footprint during Delhi pollution episode AOI 13?", + "sample_id": "air_pollution__000013", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "air_s5p_q4_population_exposure_v2", + "footprint_handle": "high_no2_column", + "footprint_derivation": "s5p_no2__peak >= training-pixel q75", + "threshold": 179.93792724609375, + "threshold_fit_split": "train", + "boundary_rule": "q4 lower bound is inclusive", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_sum": "sum non-negative people-per-pixel values in positive footprint cells", + "requested_assets": [ + "hospitals", + "schools" + ], + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers", + "zero_footprint_rule": "zero population/counts/area and null nearest values" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..a8a593e9e1230bc03b222d055f792cb8f42f85db --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.json @@ -0,0 +1,104 @@ +{ + "band_or_field": "total_column_nitrogen_dioxide_surface", + "citation_url": "https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT", + "constant": false, + "crs": "EPSG:4326", + "derivation": "preserve physical units; no AOD substitution and no invented NO2 conversion", + "fetch_provenance": { + "output": { + "bytes": 53531, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.3640968063555192e-05, + "mean": 1.2998474630876444e-05, + "minimum": 1.2323351256782189e-05, + "native_resolution_m": 44528, + "path": "work/rebuilt/air_pollution/000013/rasters/cams_no2__peak.tif", + "resampling": "bilinear", + "sha256": "943036c9b55e60144a451b1e44130c41467129a7ed2aecd9a904f73c787596e9", + "units": "kg m-2", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + 77.20695375838808, + 28.38450136025146 + ], + [ + 77.36695375838808, + 28.38450136025146 + ], + [ + 77.36695375838808, + 28.544501360251456 + ], + [ + 77.20695375838808, + 28.544501360251456 + ], + [ + 77.20695375838808, + 28.38450136025146 + ] + ] + ], + "type": "Polygon" + }, + "end_date_inclusive": "2024-11-12", + "start_date": "2024-11-08" + }, + "upstream": { + "aggregation": "maximum", + "bands": [ + "total_column_nitrogen_dioxide_surface" + ], + "collection": "ECMWF/CAMS/NRT", + "image_count": 574, + "native_resolution_m": 44528, + "resampling": "bilinear", + "units": "kg m-2", + "window_end_exclusive": "2024-11-14", + "window_start": "2024-11-07" + } + }, + "geotiff_path": "source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.tif", + "handle": "cams_no2__peak", + "license": "Copernicus CAMS attribution terms", + "maximum": 1.3640968063555192e-05, + "minimum": 1.2323351256782189e-05, + "modality": "total_column_nitrogen_dioxide_surface", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 44528, + "nodata": -9999.0, + "product": "CAMS Global Near-Real-Time", + "provider": "ECMWF Copernicus Atmosphere Monitoring Service", + "scale_m": 44528, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "943036c9b55e60144a451b1e44130c41467129a7ed2aecd9a904f73c787596e9", + "shape": [ + 128, + 128 + ], + "source": "ECMWF Copernicus Atmosphere Monitoring Service — CAMS Global Near-Real-Time", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "maximum across forecast-valid images from target date minus 3 days through target date plus 4 days (exclusive), matching the benchmark pollution episode window", + "transform": [ + 0.0012499999999999734, + 0.0, + 77.20695375838808, + 0.0, + -0.0012499999999999734, + 28.544501360251456 + ], + "units": "kg m-2", + "upstream_identifier": "ECMWF/CAMS/NRT", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.tif b/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.tif new file mode 100644 index 0000000000000000000000000000000000000000..f4aff66791ea18606d41b610b6116fe1dadd9d58 Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000013/rasters/cams_no2__peak.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.json b/data/source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.json new file mode 100644 index 0000000000000000000000000000000000000000..b0f768237fc468b2f4c3c7406ea96b31610c6b60 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.json @@ -0,0 +1,26 @@ +{ + "constant": true, + "derived_from": [ + "s5p_no2__peak", + "air_pollution/000013/normalization.json" + ], + "formula": "s5p_no2 >= train_pixel_q75", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.tif", + "handle": "high_no2_column", + "maximum": 0.0, + "minimum": 0.0, + "modality": "high_no2_column_footprint", + "scale_m": 5500, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "02241c1b37086ecd435eb881d69f7ff052afe217aad5b83992b5438ac0ed90b2", + "shape": [ + 128, + 128 + ], + "source": "derived training-relative S5P NO2 column", + "source_mode": "provider_exact_rebuild", + "threshold": 179.93792724609375, + "threshold_fit_split": "train", + "units": "binary", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.tif b/data/source_assets/multi_hazard/air_pollution/000013/rasters/high_no2_column.tif new file mode 100644 index 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b/data/source_assets/multi_hazard/air_pollution/000013/rasters/no2_anomaly.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s5p_no2__peak", + "air_pollution/000013/normalization.json" + ], + "formula": "s5p_no2 - train_aoi_mean_mean", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000013/rasters/no2_anomaly.tif", + "handle": "no2_anomaly", + "maximum": -5.3383941650390625, + "minimum": -82.89437866210938, + "modality": "no2_column_deviation", + "scale_m": 5500, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "4c7cafc84738b5b407b2d746a88c1368e0fd97b06c8d03ea91f59311c8dcc5c5", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-5P NO2 and train-only mean", + "source_mode": "provider_exact_rebuild", + "units": "umol_m2", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/no2_anomaly.tif b/data/source_assets/multi_hazard/air_pollution/000013/rasters/no2_anomaly.tif new file mode 100644 index 0000000000000000000000000000000000000000..d250461d90643705815a0100b642486e7ffc749a Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000013/rasters/no2_anomaly.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000013/rasters/s5p_co__peak.json b/data/source_assets/multi_hazard/air_pollution/000013/rasters/s5p_co__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..fc11d9aa6ff2af3db066e619bff4e6f099f945e2 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000013/rasters/s5p_co__peak.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-11-07", + "2024-11-14" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:06Z", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000013/rasters/s5p_co__peak.tif", + "handle": "s5p_co__peak", + "modality": "sentinel5p_co", + "n_bands": 1, + "nan_pct": 0.0, + "raw_nan_pct_before_gapfill": 0.0, + "scale_m": 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0000000000000000000000000000000000000000..55b289bfc96bb8668cd4fe8e76dadf1f3e15a984 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000014/questions/C.json @@ -0,0 +1,106 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000014__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + 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not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000014/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000014/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..6bf9b5b91816237557c915d31cc4dfc379a5886b --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000014/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000014__D", + "domain": "air_pollution", + "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", + 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new file mode 100644 index 0000000000000000000000000000000000000000..b4f776e0feeb0edf27cac4a261ad45ceb88a60a7 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000016/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "air_pollution__000016__A", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "peak_no2": "float", + "p95_no2": "float" + } + }, + "family": "A", + "question_text": "What is the peak Sentinel-5P NO2 column during Santiago pollution episode AOI 16?", + "sample_id": "air_pollution__000016", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000016/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000016/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..fe4b30a897257ae2dc6fef05468cdff8fd872d19 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000016/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000016__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Santiago pollution episode AOI 16?", + "sample_id": "air_pollution__000016", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000016/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000016/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..290762b2981eae7b2c4d8ca4b2ec3b877ae8692c --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000016/questions/C.json @@ -0,0 +1,104 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000016__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + 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"agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000016/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000016/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..432ff0ec3aab167b14eca213094a125a93136555 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000016/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000016__D", + "domain": "air_pollution", + "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": "null", + "distance_m": "null" + } + }, + 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population-count clip", + "population_sum": "sum non-negative people-per-pixel values in positive footprint cells", + "requested_assets": [ + "hospitals", + "schools" + ], + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers", + "zero_footprint_rule": "zero population/counts/area and null nearest values" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000016/rasters/cams_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000016/rasters/cams_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..85dc2e84586be109f31d38b6b0d43eb208ccce3a --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000016/rasters/cams_no2__peak.json @@ -0,0 +1,104 @@ +{ + "band_or_field": "total_column_nitrogen_dioxide_surface", + "citation_url": 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0000000000000000000000000000000000000000..cc7bd516b59fe1e7e55b64532dab66cb9242b8f2 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000017/questions/C.json @@ -0,0 +1,105 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000017__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + 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0000000000000000000000000000000000000000..940d73d40e77fd2bfeda66f32b6a687e2f895e2d --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000018/questions/A.json @@ -0,0 +1,41 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "air_pollution__000018__A", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "peak_no2": "float", + "p95_no2": "float" + } + }, + "family": "A", + "question_text": "What is the peak Sentinel-5P NO2 column during Los Angeles pollution episode AOI 18?", + "sample_id": "air_pollution__000018", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": 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"string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Los Angeles pollution episode AOI 18?", + "sample_id": "air_pollution__000018", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000018/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000018/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..67a0fd023aad27da35c3946a29d6265dad1dea21 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000018/questions/C.json @@ -0,0 +1,105 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000018__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string", + "source_spatial_means": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "source_units": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "state_counts": { + "above_training_typical": "integer", + "below_training_typical": "integer" + }, + "state_z_boundaries": "string", + "normalization_fit_split": "string", + "normalization_train_sample_ids": "string" + } + }, + "family": "C", + "question_text": "Do Sentinel-5P NO2, CAMS NO2, and MODIS AOD agree on the training-relative episode-intensity state for Los Angeles pollution episode AOI 18?", + "sample_id": "air_pollution__000018", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000018/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000018/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..347d173924a697c1ea073dde27a8dfc23c390151 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000018/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000018__D", + "domain": "air_pollution", + "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": "null", + "distance_m": "null" + } + }, + "schools": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "string", + "distance_m": "float" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string", + "threshold_contract": "string" + } + }, + "family": "D", + "question_text": "What population is located within the training-defined top-quartile S5P NO2-column footprint during Los Angeles pollution episode AOI 18?", + "sample_id": "air_pollution__000018", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "air_s5p_q4_population_exposure_v2", + "footprint_handle": "high_no2_column", + "footprint_derivation": "s5p_no2__peak >= training-pixel q75", + "threshold": 179.93792724609375, + "threshold_fit_split": "train", + "boundary_rule": "q4 lower bound is inclusive", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_sum": "sum non-negative people-per-pixel values in positive footprint cells", + "requested_assets": [ + "hospitals", + "schools" + ], + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers", + "zero_footprint_rule": "zero population/counts/area and null nearest values" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000018/rasters/cams_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000018/rasters/cams_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..095a251306a985cfc24fba9ea277a75866e24311 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000018/rasters/cams_no2__peak.json @@ -0,0 +1,104 @@ +{ + "band_or_field": "total_column_nitrogen_dioxide_surface", + "citation_url": "https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT", + "constant": false, + "crs": "EPSG:4326", + "derivation": "preserve physical units; no AOD substitution and no invented NO2 conversion", + "fetch_provenance": { + "output": { + "bytes": 45769, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 2.086348831653595e-05, + "mean": 2.0674706320278347e-05, + "minimum": 2.053844218607992e-05, + "native_resolution_m": 44528, + "path": "work/rebuilt/air_pollution/000018/rasters/cams_no2__peak.tif", + "resampling": "bilinear", + "sha256": "7be34eb4ebc38ec4d01925d362ee0c8b8599d767e9eb7a9240b26dd7a529b60c", + "units": "kg m-2", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + -118.28076776326674, + 34.09971356728526 + ], + [ + -118.12076776326674, + 34.09971356728526 + ], + [ + -118.12076776326674, + 34.25971356728525 + ], + [ + -118.28076776326674, + 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b/data/source_assets/multi_hazard/air_pollution/000018/rasters/s5p_co__peak.tif new file mode 100644 index 0000000000000000000000000000000000000000..b0869e07068e62dece23595cf682e3c8aa0abb6f Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000018/rasters/s5p_co__peak.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000018/rasters/s5p_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000018/rasters/s5p_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..c9b010828571bb8c9a11890ff0a62f0fad77af95 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000018/rasters/s5p_no2__peak.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-11-07", + "2024-11-14" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:34Z", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000018/rasters/s5p_no2__peak.tif", + "handle": "s5p_no2__peak", + "modality": 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--- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000020/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000020__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Santiago pollution episode AOI 20?", + "sample_id": "air_pollution__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000020/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000020/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..1e545e54c1fbcd31e699a352f2f0dfd1615c758d --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000020/questions/C.json @@ -0,0 +1,104 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000020__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + 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episode-intensity state for Santiago pollution episode AOI 20?", + "sample_id": "air_pollution__000020", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000020/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000020/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..ac9fdbf3ff2c02f9b8882b08f604573e4d2c8b12 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000020/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000020__D", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "population_in_footprint": "float" + }, + "evidence": { + 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"ReadData", + "PrepareScene", + "ComputeStats", + "TaskComplete" + ], + "case_id": "air_pollution__000021__A", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "value": "float", + "units": "string" + }, + "evidence": { + "peak_no2": "float", + "p95_no2": "float" + } + }, + "family": "A", + "question_text": "What is the peak Sentinel-5P NO2 column during Delhi pollution episode AOI 21?", + "sample_id": "air_pollution__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000021/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..c861a555d5347832d379c13293bd5228c613c711 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000021__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "float" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Delhi pollution episode AOI 21?", + "sample_id": "air_pollution__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 4, + "tool_budget_min": 4, + "classification_contract": { + "version": "air_s5p_train_relative_quartiles_v2", + "source_handle": "s5p_no2__peak", + "fit_split": "train", + "fit_aoi_count": 18, + "fit_valid_pixel_count": 294912, + "intervals": { + "q1_low": [ + -1e+30, + 88.19622039794922 + ], + "q2_mid_low": [ + 88.19622039794922, + 121.34806823730469 + ], + "q3_mid_high": [ + 121.34806823730469, + 179.93792724609375 + ], + "q4_high": [ + 179.93792724609375, + 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 S5P NO2-column quartiles, not health or surface-concentration classes" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/questions/C.json b/data/source_assets/multi_hazard/air_pollution/000021/questions/C.json new file mode 100644 index 0000000000000000000000000000000000000000..a80a5bde1eecb6ff36fcb9a069d04fd10e784449 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/questions/C.json @@ -0,0 +1,106 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000021__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string", + "source_spatial_means": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "source_units": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "state_counts": { + "above_training_typical": "integer", + "below_training_typical": "integer", + "training_typical": "integer" + }, + "state_z_boundaries": "string", + "normalization_fit_split": "string", + "normalization_train_sample_ids": "string" + } + }, + "family": "C", + "question_text": "Do Sentinel-5P NO2, CAMS NO2, and MODIS AOD agree on the training-relative episode-intensity state for Delhi pollution episode AOI 21?", + "sample_id": "air_pollution__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000021/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..af2a2f1d3b22ecf2eec35cb6f0c935e57b630670 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000021__D", + "domain": "air_pollution", + "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": "null", + "distance_m": "null" + } + }, + "schools": { + "in_footprint": "integer", + "in_buffer": "integer", + "nearest": { + "name": "null", + "distance_m": "null" + } + } + }, + "footprint_handle": "string", + "distance_method": "string", + "asset_geometry_contract": "string", + "threshold_contract": "string" + } + }, + "family": "D", + "question_text": "What population is located within the training-defined top-quartile S5P NO2-column footprint during Delhi pollution episode AOI 21?", + "sample_id": "air_pollution__000021", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 6, + "tool_budget_min": 6, + "exposure_contract": { + "version": "air_s5p_q4_population_exposure_v2", + "footprint_handle": "high_no2_column", + "footprint_derivation": "s5p_no2__peak >= training-pixel q75", + "threshold": 179.93792724609375, + "threshold_fit_split": "train", + "boundary_rule": "q4 lower bound is inclusive", + "population_source": "WorldPop/GP/100m/pop 2020 population-count clip", + "population_sum": "sum non-negative people-per-pixel values in positive footprint cells", + "requested_assets": [ + "hospitals", + "schools" + ], + "asset_geometry": "one authoritative GeoJSON representative point per cached OSM feature", + "context_buffer_m": 5000, + "distance_method": "local azimuthal-equidistant distance to positive cell centers", + "zero_footprint_rule": "zero population/counts/area and null nearest values" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.json b/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..6e173f70fb10f6fa23520b4a9e64aaa93c578ef8 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.json @@ -0,0 +1,104 @@ +{ + "band_or_field": "total_column_nitrogen_dioxide_surface", + "citation_url": "https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT", + "constant": false, + "crs": "EPSG:4326", + "derivation": "preserve physical units; no AOD substitution and no invented NO2 conversion", + "fetch_provenance": { + "output": { + "bytes": 52861, + "constant": false, + "export_grid": { + "crs": "EPSG:4326", + "height": 128, + "width": 128 + }, + "maximum": 1.3176116226532031e-05, + "mean": 1.2476475603762083e-05, + "minimum": 1.1823619388451334e-05, + "native_resolution_m": 44528, + "path": "work/rebuilt/air_pollution/000021/rasters/cams_no2__peak.tif", + "resampling": "bilinear", + "sha256": "98a3498f4bbd1055659dab8ac4801e2ce7fbb7f14cf3d68915f8df55ad04d159", + "units": "kg m-2", + "valid_fraction": 1.0 + }, + "request": { + "aoi_geometry": { + "coordinates": [ + [ + [ + 77.14548914223799, + 28.529585110315036 + ], + [ + 77.30548914223799, + 28.529585110315036 + ], + [ + 77.30548914223799, + 28.689585110315033 + ], + [ + 77.14548914223799, + 28.689585110315033 + ], + [ + 77.14548914223799, + 28.529585110315036 + ] + ] + ], + "type": "Polygon" + }, + "end_date_inclusive": "2024-11-12", + "start_date": "2024-11-08" + }, + "upstream": { + "aggregation": "maximum", + "bands": [ + "total_column_nitrogen_dioxide_surface" + ], + "collection": "ECMWF/CAMS/NRT", + "image_count": 574, + "native_resolution_m": 44528, + "resampling": "bilinear", + "units": "kg m-2", + "window_end_exclusive": "2024-11-14", + "window_start": "2024-11-07" + } + }, + "geotiff_path": "source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.tif", + "handle": "cams_no2__peak", + "license": "Copernicus CAMS attribution terms", + "maximum": 1.3176116226532031e-05, + "minimum": 1.1823619388451334e-05, + "modality": "total_column_nitrogen_dioxide_surface", + "n_bands": 1, + "nan_pct": 0.0, + "native_resolution_m": 44528, + "nodata": -9999.0, + "product": "CAMS Global Near-Real-Time", + "provider": "ECMWF Copernicus Atmosphere Monitoring Service", + "scale_m": 44528, + "schema_version": "geodisaster_source_sidecar_v2", + "sha256": "98a3498f4bbd1055659dab8ac4801e2ce7fbb7f14cf3d68915f8df55ad04d159", + "shape": [ + 128, + 128 + ], + "source": "ECMWF Copernicus Atmosphere Monitoring Service — CAMS Global Near-Real-Time", + "source_mode": "provider_exact_rebuild", + "temporal_rule": "maximum across forecast-valid images from target date minus 3 days through target date plus 4 days (exclusive), matching the benchmark pollution episode window", + "transform": [ + 0.0012499999999999734, + 0.0, + 77.14548914223799, + 0.0, + -0.0012499999999999734, + 28.689585110315033 + ], + "units": "kg m-2", + "upstream_identifier": "ECMWF/CAMS/NRT", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.tif b/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.tif new file mode 100644 index 0000000000000000000000000000000000000000..9bbbcb95d0ef8b4bd186a6fd897805ca7bbc1915 Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000021/rasters/cams_no2__peak.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000021/rasters/high_no2_column.json b/data/source_assets/multi_hazard/air_pollution/000021/rasters/high_no2_column.json new file mode 100644 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b/data/source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.json new file mode 100644 index 0000000000000000000000000000000000000000..e2dc28a1ebdc9aad7b653414520b5ec3c4e16393 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.json @@ -0,0 +1,24 @@ +{ + "constant": false, + "derived_from": [ + "s5p_no2__peak", + "air_pollution/000021/normalization.json" + ], + "formula": "s5p_no2 - train_aoi_mean_mean", + "geotiff_path": "source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.tif", + "handle": "no2_anomaly", + "maximum": 20.66326904296875, + "minimum": -41.227012634277344, + "modality": "no2_column_deviation", + "scale_m": 5500, + "schema_version": "geodisaster_derived_sidecar_v2", + "sha256": "6d0d0d89559c48cacf479150b049a19a808f2f30c61199cab4f3aaf6bcb9e329", + "shape": [ + 128, + 128 + ], + "source": "derived from Sentinel-5P NO2 and train-only mean", + "source_mode": "provider_exact_rebuild", + "units": "umol_m2", + "valid_fraction": 1.0 +} diff --git a/data/source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.tif b/data/source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.tif new file mode 100644 index 0000000000000000000000000000000000000000..2019daac62818ddaf5bb8d49b402d8987bdaf94f Binary files /dev/null and b/data/source_assets/multi_hazard/air_pollution/000021/rasters/no2_anomaly.tif differ diff --git a/data/source_assets/multi_hazard/air_pollution/000021/rasters/s5p_co__peak.json b/data/source_assets/multi_hazard/air_pollution/000021/rasters/s5p_co__peak.json new file mode 100644 index 0000000000000000000000000000000000000000..bbddcdaf546a18448c94b08a15a57c66cc24c89d --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000021/rasters/s5p_co__peak.json @@ -0,0 +1,24 @@ +{ + "acquisition_dates": [ + "2024-11-07", + "2024-11-14" + ], + "clear_fraction_in_aoi": null, + "fetched_at_build_time": "2026-05-17T04:46:44Z", + "geotiff_path": 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"peak_contract": { + "version": "air_s5p_spatiotemporal_peak_v2", + "source_handle": "s5p_no2__peak", + "source_product": "COPERNICUS/S5P/OFFL/L3_NO2 tropospheric_NO2_column_number_density", + "temporal_statistic": "per-pixel maximum over the declared episode", + "answer_statistic": "maximum finite pixel of that episode-peak AOI raster", + "support_statistic": "95th percentile of finite AOI pixels", + "units": "umol_m2", + "rounding_decimals": 6 + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000022/questions/B.json b/data/source_assets/multi_hazard/air_pollution/000022/questions/B.json new file mode 100644 index 0000000000000000000000000000000000000000..2262a768fb1ca651cec74219977a942ea3134966 --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000022/questions/B.json @@ -0,0 +1,84 @@ +{ + "available_handles": [ + "s5p_no2__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "TaskComplete" + ], + "case_id": "air_pollution__000022__B", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "class": "string", + "dominant_fraction": "float" + }, + "evidence": { + "dominant_class": "string", + "by_class": { + "q1_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q2_mid_low": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q3_mid_high": { + "area_ha": "float", + "pixel_count": "integer", + "mean_value": "null" + }, + "q4_high": { + "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 training-relative S5P NO2-column quartile class at the peak for Los Angeles pollution episode AOI 22?", + "sample_id": "air_pollution__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": 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0000000000000000000000000000000000000000..206134cd0cef59a0f67aacfa2e6d5ff0821c7e5f --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000022/questions/C.json @@ -0,0 +1,105 @@ +{ + "available_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "CompareSources", + "TaskComplete" + ], + "case_id": "air_pollution__000022__C", + "domain": "air_pollution", + "expected_answer_shape": { + "status": "string", + "answer": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string" + }, + "evidence": { + "agree": "bool", + "metric": "string", + "agreement_fraction": "float", + "required_agreement_fraction": "float", + "source_intensity_states": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "source_train_z_scores": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "verdict": "string", + "source_spatial_means": { + "s5p_no2": "float", + "cams_no2": "float", + "modis_aod": "float" + }, + "source_units": { + "s5p_no2": "string", + "cams_no2": "string", + "modis_aod": "string" + }, + "state_counts": { + "above_training_typical": "integer", + "below_training_typical": "integer" + }, + "state_z_boundaries": "string", + "normalization_fit_split": "string", + "normalization_train_sample_ids": "string" + } + }, + "family": "C", + "question_text": "Do Sentinel-5P NO2, CAMS NO2, and MODIS AOD agree on the training-relative episode-intensity state for Los Angeles pollution episode AOI 22?", + "sample_id": "air_pollution__000022", + "schema_version": "geodisaster_multi_hazard_question_v2", + "source_mode": "provider_exact_rebuild", + "tool_budget_max": 5, + "tool_budget_min": 5, + "agreement_contract": { + "version": "air_pollution_train_relative_intensity_v2", + "source_handles": [ + "s5p_no2__peak", + "cams_no2__peak", + "modis_aod__peak" + ], + "source_products": { + "s5p_no2__peak": "Sentinel-5P tropospheric NO2 column episode peak", + "cams_no2__peak": "CAMS total-column NO2 episode peak", + "modis_aod__peak": "MODIS aerosol optical depth episode peak" + }, + "per_source_summary": "arithmetic mean of all finite AOI pixels", + "normalization": "(AOI mean - training AOI-mean mean) / training AOI-mean population std", + "fit_split": "train", + "fit_aoi_count": 18, + "state_boundaries_z": [ + -0.5, + 0.5 + ], + "states": [ + "below_training_typical", + "training_typical", + "above_training_typical" + ], + "agreement_fraction": "largest state count divided by three sources", + "required_agreement_fraction": 1.0, + "interpretation": "agreement of within-product relative episode intensity, not equality of physical units or pollutants" + } +} diff --git a/data/source_assets/multi_hazard/air_pollution/000022/questions/D.json b/data/source_assets/multi_hazard/air_pollution/000022/questions/D.json new file mode 100644 index 0000000000000000000000000000000000000000..73a453a4c1d1257ca4c1520979eec8d9adf116fc --- /dev/null +++ b/data/source_assets/multi_hazard/air_pollution/000022/questions/D.json @@ -0,0 +1,72 @@ +{ + "available_handles": [ + "high_no2_column" + ], + "available_tools": [ + "ReadData", + "PrepareScene", + "ScoreHazard", + "EstimateExposure", + "TaskComplete" + ], + "case_id": "air_pollution__000022__D", + "domain": "air_pollution", + "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", + 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