Datasets:
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_estimateis a rule-of-thumb (panel area / 6.0), not a metered figure.- Detections are model output, not a verified installation registry.
Links and citation
- Code and pipeline: https://github.com/xmpuspus/solar-map-ph (MIT)
- Trained model: https://huggingface.co/xmpuspus/solar-map-ph-clf-v4
- Site and methodology: https://solarmap.ph
- Cite: SolarMap.PH (2026, v1.0.0). https://doi.org/10.5281/zenodo.20178050