| --- |
| 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](https://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`](https://huggingface.co/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 |
|
|
| - 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 |
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|
