| # SolarMap.PH data product schema |
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| Every file in `site/public/data/` is published under CC-BY-4.0. Cite as: |
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| > SolarMap.PH (YYYY-QN), https://github.com/xmpuspus/solar-map-ph |
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| All geometry is in EPSG:4326 (WGS84). All distances are meters unless noted. |
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|
| ## Files |
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| | File | Granularity | Used by | |
| |---|---|---| |
| | `per_building_solar_ncr.geojson` | Per OSM building (commercial/industrial/public only) | `/map`, `/safety`, `/` roof lookup | |
| | `residential_solar_aggregate.json` | Counts only, no geometry | `/safety` | |
| | `rooftop_solar_ncr.geojson` | Per 240m tile center | `/map` | |
| | `city_solar_saturation.json` | Per 240m cell, summed across NCR | `/safety` saturation index | |
| | `solar_map_ph_YYYYQN.geojson` | Per city | `/map` choropleth | |
| | `solar_map_ph_barangay_YYYYQN.geojson` | Per barangay, urban-area drilldown | `/map` | |
| | `solar_map_ph_summary_YYYYQN.json` | Franchise-wide totals | `/methodology` | |
| | `manifest.json` | Index of available quarters | site bootstrap | |
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|
| ## per_building_solar_ncr.geojson |
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| One Feature per OSM building with detected rooftop solar. Residential roofs are intentionally suppressed; see `residential_solar_aggregate.json` for counts. |
| |
| ```jsonc |
| { |
| "type": "Feature", |
| "geometry": { "type": "Polygon", "coordinates": [[[lon, lat], ...]] }, |
| "properties": { |
| "building_osm_id": 604560854, // OSM way or relation id |
| "building_osm_type": "way", // "way" or "relation" |
| "building_area_m2": 1834.2, // m^2, area of the OSM building footprint |
| "building_type": "commercial", // OSM `building=*` value, or `amenity` fallback |
| "is_residential": false, // always false in the published file |
| "is_commercial": true, |
| "panel_area_m2": 412.7, // m^2, summed across SAM segments, capped at footprint |
| "kwp_estimate": 68.78, // panel_area_m2 / 6.0 (CSi rule-of-thumb) |
| "confidence": 0.9183, // max calibrated segment score |
| "n_segments_merged": 4, // SAM segments merged onto this building |
| "tile_ids": ["14.59345_121.10221", ...], |
| "tile_id": "14.59345_121.10221", // primary (highest-confidence) tile |
| "tile_score": 0.9871 // CLIP+LR tile-level score for the primary tile |
| } |
| } |
| ``` |
| |
| `_meta` on the FeatureCollection root reports `generated_utc`, `tiles_processed`, `buildings_with_solar_published`, `buildings_residential_suppressed`, `kwp_per_m2`, `scoring`, `polygon_strategy`, `area_strategy`, `privacy_policy`, and `tiles_overpass_failed`. |
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| ### Caveats |
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| - `kwp_estimate` uses the 2015-era 6 m^2 per kWp rule of thumb (~167 W/m^2). Modern PH commercial installs run 5-7 m^2 per kWp. Use a 0.85-1.20 sensitivity band when downstream of this number. |
| - `panel_area_m2` is capped at the OSM building footprint area as a sanity gate against SAM over-segmenting nearby ground. |
| - For solar arrays spanning multiple buildings, `kwp_estimate` is a lower bound: each SAM segment is attributed to a single OSM building. |
| |
| ## residential_solar_aggregate.json |
| |
| ```jsonc |
| { |
| "generated_utc": "2026-05-12T17:55:00Z", |
| "n_residential_buildings_with_solar": 27, |
| "kwp_residential_total": 917.18, |
| "by_building_type": { |
| "apartments": 4, |
| "house": 21, |
| "residential": 2 |
| }, |
| "policy": "Residential rooftops are intentionally not published as individual polygons..." |
| } |
| ``` |
| |
| No geometry, no addresses, no per-building entries. This is the only residential-scoped figure SolarMap.PH releases. |
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| ## rooftop_solar_ncr.geojson |
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| One Point feature per 240m tile center that scored above the candidate threshold. |
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| ```jsonc |
| { |
| "type": "Feature", |
| "geometry": { "type": "Point", "coordinates": [lon, lat] }, |
| "properties": { |
| "tile_id": "14.59345_121.10221", |
| "score": 0.9871, // calibrated probability of containing rooftop solar |
| "tier": "high", // "high" (>=0.85) or "candidate" (0.70-0.85) |
| "anchored_to_building": true, |
| "osm_status": "confirmed", // "confirmed" if within 50 m of an OSM solar tag |
| "kwp_estimate": 68.78 // copied from per_building when anchored |
| } |
| } |
| ``` |
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| ## city_solar_saturation.json |
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| One row per 240m cell across NCR with a count of high-confidence detections within a 300 m halo. Used by the saturation-tier card on `/safety` and inside the roof-lookup tool. |
| |
| ```jsonc |
| [ |
| { |
| "cell_lat": 14.59345, |
| "cell_lon": 121.10221, |
| "n_high_within_300m": 5, |
| "n_buildings_solar_within_300m": 4, |
| "kwp_within_300m": 73.21, |
| "saturation_tier": "growing" // "early", "growing", "saturated" |
| } |
| ] |
| ``` |
| |
| ## solar_map_ph_YYYYQN.geojson (city-level composite) |
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| Earth Engine multi-signal composite, one polygon per franchise city. |
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| ```jsonc |
| { |
| "type": "Feature", |
| "geometry": { "type": "Polygon", "coordinates": [...] }, |
| "properties": { |
| "city": "Quezon City", |
| "province": "Metro Manila", |
| "psgc_code": "1380700000", |
| "composite": 0.74, // [0,1], higher = stronger multi-signal solar signature |
| "nir_delta_z": 1.42, // z-scored across cities |
| "swir_delta_z": 0.93, |
| "lst_anomaly_z": 0.41, |
| "nightlight_delta_z": 0.08, |
| "built_km2": 161.2, |
| "quarter": "2026Q2", |
| "baseline_year": 2022 |
| } |
| } |
| ``` |
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| The composite is correlative, not diagnostic. See `/methodology` on the site for the full algorithm. |
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| ## License and citation |
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| All files: CC-BY-4.0. Cite as `SolarMap.PH (YYYY-QN), https://github.com/xmpuspus/solar-map-ph`. Citing the software itself: see `CITATION.cff` at repo root. |
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