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metadata
license: cc-by-4.0
pretty_name: SolarMap.PH rooftop solar detections
tags:
  - remote-sensing
  - solar-energy
  - rooftop-solar
  - philippines
  - geospatial
  - sentinel-2

SolarMap.PH data products

Open rooftop-solar detections for the Philippines, built from satellite imagery by SolarMap.PH. Rooftops are detected with CLIP image embeddings plus a gradient-boosted classifier, then segmented and snapped to OpenStreetMap buildings. All geometry is EPSG:4326 (WGS84). CC-BY-4.0.

The trained model itself lives in a separate repo: xmpuspus/solar-map-ph-clf-v4.

Coverage

Per-building and per-tile detections across NCR plus Cebu, Davao, Cagayan de Oro, Iloilo, Calabarzon, Bacolod, and Legazpi, with city- and barangay-level aggregates.

What's here

File Granularity
per_building_solar_ncr.geojson Per OSM building (commercial/industrial/public; residential roofs suppressed)
rooftop_solar_<region>.geojson Per 240 m tile center, by region
solar_map_ph_2026Q2.geojson Per city
city_detection_counts*.json, city_solar_saturation.json City and 240 m-cell aggregates
solar_saturation_ncr.geojson, hot_spots_2026Q2.geojson Saturation and hotspot layers
residential_solar_aggregate.json Residential counts only, no geometry (privacy)
franchise_cities_polygons.geojson Distribution-utility franchise boundaries
SCHEMA.md Full field-by-field schema for every file
BENCHMARKS.md, MODEL_CARD.md Evaluation tables and model card
dataset_v4.npz The labeled training tiles

See SCHEMA.md for the exact property schema of each file (building id, footprint area, panel area, kWp estimate, calibrated confidence, and so on).

Notes

  • Residential rooftops are intentionally suppressed in the per-building file; only aggregate counts are published, for privacy.
  • kwp_estimate is a rule-of-thumb (panel area / 6.0), not a metered figure.
  • Detections are model output, not a verified installation registry.

Links and citation