📊 SinkAlert Data Catalog
Enhanced with research findings — acquired July 15, 2026 for DEPA pitch
✅ Acquired Today (Free — No Account)
🗺️ OpenStreetMap Thailand ACQUIRED
Source: Geofabrik | File: thailand-latest.osm.pbf | Size: 311 MB
Complete road network, building footprints, and points of interest for all of Thailand. Enables local extraction of road_class, building_density, and road_proximity features without API calls.
road_class
building_density
road_proximity_km
built_up_fraction
urbanization_rate
🌧️ CHIRPS Daily Rainfall (2025-2026) ACQUIRED
Source: UCSB Climate Hazards Center | Files: 2025.nc (92MB) + 2026.nc (83MB) | Total: 175 MB
Daily precipitation at 0.05° resolution (~5.5km). Higher spatial resolution than NASA POWER (0.5°). Enables precise 24h and 72h rainfall features for sinkhole trigger detection.
rain_24h_mm
rain_72h_mm
annual_rainfall_mm
dry_spell_days
🏙️ GHSL Population Density 2030 READY
Source: EU Joint Research Centre | File: bangkok_pop_2030_100m.tif | Size: 3.3 MB (clipped from 12.2GB global)
Population density at 100m resolution for Bangkok metropolitan region. 12.2GB global dataset clipped to BMA bounding box. Ready for XGBoost feature extraction.
population_density
built_up_fraction
📦 Previously Acquired
| Dataset | Source | Size | Features Enabled |
| RDD2022 Full | Mendeley + Zenodo | 15,197 objects | YOLOv8 training — 4 crack classes |
| Iran Aquifer | Zenodo | 3.2 GB | Benchmark dataset — 79 aquifers, 60 features |
| Monthly Flood Risk | BDI Thackle #83 | 5.8 MB | flood_event_count |
| NASA POWER Rainfall | NASA API | ~2 MB | rainfall features (now superseded by CHIRPS) |
| SoilGrids 2.0 | ISRIC | ~1 MB | clay%, sand%, soil_moisture |
| Thai Provincial Data | Various Thai gov | ~500 KB | Regional statistics |
| DMR Sinkhole Labels (10) | dmr.go.th | 722 B | Ground truth — Bangkok sinkholes |
📋 Pending — Needs Account Registration
| Dataset | Source | Registration | Priority | Why Critical |
| Sentinel-1 SLC |
Copernicus Data Space |
dataspace.copernicus.eu (free) |
CRITICAL |
Real InSAR processing → actual mm/yr subsidence for Bangkok. Currently using published rates, not raw satellite data. |
| GLDAS-2.1 Groundwater |
NASA Earthdata |
urs.earthdata.nasa.gov (free) |
CRITICAL |
Groundwater depletion data — the primary driver of Bangkok subsidence. Currently using static SoilGrids, not dynamic groundwater. |
| DMR Geology 1:50,000 |
DMR Portal |
dmr.go.th (Thai gov) |
HIGH |
Karst mapping, fault lines, geological layers for Bangkok region. Only 10 labeled sinkholes currently. |
🔮 What This Enables for the XGBoost Model
| Feature | Before | After | Source |
| road_class | Coarse OSM API queries | ✅ Local PBF extraction — all BMA roads | OSM Thailand |
| building_density | Estimated from population | ✅ Actual building footprint counts per grid cell | OSM Thailand |
| rain_24h_mm | NASA POWER 0.5° (~55km) | ✅ CHIRPS 0.05° (~5.5km) — 10× finer | CHIRPS Daily |
| rain_72h_mm | NASA POWER 0.5° | ✅ CHIRPS 0.05° rolling 3-day | CHIRPS Daily |
| population_density | Province-level averages | ✅ 100m grid — street-level precision | GHSL 2030 |
| insar_subsidence | Published rates (static) | ⏳ Raw Sentinel-1 → MintPy → mm/yr | Sentinel-1 SLC |
| deep_soil_wetness | SoilGrids static | ⏳ GLDAS-2.1 daily groundwater | GLDAS-2.1 |
| karst_geology_index | Generic karst map | ⏳ DMR 1:50,000 detailed geology | DMR Geology |