Pre-existing data
Data that existed before the earthquake and that the analysis uses: building heights, building footprints, population, terrain and the like. Each layer shows its size, licence, attribution and coverage.
| Layer | Status | Coverage | Size | Licence | Attribution and citation | Source |
|---|---|---|---|---|---|---|
| TUM GlobalBuildingAtlas LoD1 building heights (polygons + height + variance) heights | ok | 5x5 degree tiles that touch the AOI, clipped to the AOI. Heights are modelled (ML on PlanetScope), not measured; check the paper's validation before using them to better than a few metres. Buildings outside the footprint sources carry height=null. | 72.4 MB | Mixed by part. Polygons derived from OSM and Microsoft (gba_part=odbl): ODbL 1.0. Planet/Google/CLSM-derived polygons and all heights (gba_part=planet, height, var): CC BY-NC 4.0, NON-COMMERCIAL ONLY. Not usable in commercial deliverables without a separate licence. | Zhu, X. X. et al., GlobalBuildingAtlas (TUM, Data Science in Earth Observation), CC BY-NC 4.0; building polygons (c) OpenStreetMap contributors and Microsoft (ODbL) where gba_part=odbl. Zhu, X. X. et al. (2025) GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models. Earth System Science Data Discussions, essd-2025-327 (preprint; use the final citation on the dataset page when published). | – southamerica/w085_n10_w080_n05: 212935 buildings, 212935 with height (100%) 2026-10-10 02:04 UTC |
| TUM GlobalBuildingAtlas GBA.Height rasters (3 m) heights | failed | global 3 m height maps; only on mediaTUM | – | CC BY-NC 4.0 (non-commercial) | Zhu, X. X. et al., GlobalBuildingAtlas (TUM) Zhu, X. X. et al. (2025) GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models. Earth System Science Data Discussions, essd-2025-327 (preprint; use the final citation on the dataset page when published). | source blocked: mediaTUM answers an honest bot user agent, but the 3 m height GeoTIFF zips sit on a Nextcloud share (dataserv.ub.tum.de/index.php/s/m1782307_rep) whose listing needs WebDAV or the page's published FTP/rsync logins, which agent-recon does not use; per-building heights come from gba_lod1 instead 2026-10-10 02:04 UTC |
| OpenStreetMap: buildings, roads, health, education, critical infrastructure osm | ok | Crowd-sourced; completeness varies strongly by place. Roads are all highway=* ways; buildings are ways and relation centres; critical infrastructure is a tag selection (see ANCILLARY_DATA.md). | 23.8 MB | ODbL 1.0 (share-alike on derived databases) | (c) OpenStreetMap contributors, https://www.openstreetmap.org/copyright OpenStreetMap contributors (retrieved from the Overpass API on the date in fetched_utc). | – features: buildings=57915, roads=12744, healthcare=212, education=544, critical_infrastructure=2557 2026-10-10 02:04 UTC |
| Overture Maps buildings buildings | ok | Footprints; height and num_floors are mostly null outside North America and western Europe. | 17.6 MB | Per feature, see the `sources` column: ODbL 1.0 (OSM-derived), CDLA-Permissive-2.0, CC BY 4.0 and others by contributing dataset [per-source terms: https://docs.overturemaps.org/attribution/] | (c) Overture Maps Foundation; (c) OpenStreetMap contributors where sources lists OSM; Microsoft, Google, Esri as listed in sources Overture Maps Foundation, overturemaps.org (release in the note). | – release 2026-09-23.1: 170432 buildings, 174 with height, 3622 with num_floors 2026-10-10 02:04 UTC |
| Overture Maps places (POI) other | ok | Points of interest (hospitals, schools, shops...) with category and confidence. | 209.9 kB | CDLA-Permissive-2.0 [per Overture's places terms; confirm at https://docs.overturemaps.org/attribution/] | (c) Overture Maps Foundation Overture Maps Foundation, overturemaps.org (release in the note). | – release 2026-09-23.1: 1682 places 2026-10-10 02:04 UTC |
| Google + Microsoft + OSM open buildings, combined (VIDA) buildings | ok | Footprints with source and confidence, no heights. Per-country GeoParquet, filtered to the AOI by bbox. | 21.4 MB | Per source (bf_source column): Google Open Buildings CC BY 4.0; Microsoft ML Building Footprints ODbL 1.0; OSM ODbL 1.0 [VIDA's own terms not verified: https://source.coop/vida/google-microsoft-osm-open-buildings] | Google Open Buildings; Microsoft Global ML Building Footprints; (c) OpenStreetMap contributors; combined by VIDA Sirko, W. et al. (2021) Continental-scale building detection from high resolution satellite imagery, arXiv:2107.12283 (Google Open Buildings); Microsoft GlobalMLBuildingFootprints; VIDA combined release. | source PAN: 217104 buildings (microsoft 7427, osm 852, google 208825) 2026-10-10 02:04 UTC |
| Copernicus DEM GLO-30 (30 m) dem | ok | Surface model (DSM), heights in metres above EGM2008, 1 degree tiles clipped to the AOI; ocean tiles do not exist. | 12.3 MB | Copernicus DEM licence: free of charge, including commercial use, with the attribution below | Produced using Copernicus WorldDEM-30 (c) DLR e.V. 2010-2014 and (c) Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. European Space Agency (2024) Copernicus Global Digital Elevation Model, doi:10.5270/ESA-c5d3d65 | – 4 tiles clipped to the AOI 2026-10-10 02:04 UTC |
| ESA WorldCover 10 m land cover 2021 (v200) landcover | ok | 11 classes, 3 degree tiles clipped to the AOI; Map layer only. | 4.6 MB | CC BY 4.0 | (c) ESA WorldCover project 2021 / Contains modified Copernicus Sentinel data (2021) processed by the ESA WorldCover consortium Zanaga, D. et al. (2022) ESA WorldCover 10 m 2021 v200, doi:10.5281/zenodo.7254221 | – 2 tiles clipped to the AOI 2026-10-10 02:04 UTC |
| GHSL GHS-POP R2023A population grid (100 m), epochs 2020 and 2025 population | ok | People per 100 m cell, Mollweide (ESRI:54009), 1000 km tiles clipped to the shaking box. 2020 is the census-anchored epoch; 2025 is a model projection. | 4.5 MB | CC BY 4.0 (European Commission JRC) | (c) European Union, JRC, GHSL; Schiavina, Freire, Carioli, MacManus (2023) Schiavina, M., Freire, S., Carioli, A., MacManus, K. (2023) GHS-POP R2023A - GHS population grid multitemporal (1975-2030), European Commission JRC, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE | source 8 clipped tile(s) 2026-10-10 02:04 UTC |
| WorldPop 2020 population counts (100 m, per country) population | ok | Only the mission's own country (from the catalogue's target places): a shaking box that crosses a border is covered by GHS-POP, not by this layer. The server does not support range requests, so the country file is downloaded whole into the cache. | 10.2 MB | CC BY 4.0 | WorldPop (www.worldpop.org), University of Southampton WorldPop (2018) Global High Resolution Population Denominators Project, doi:10.5258/SOTON/WP00645 | – 1 clipped file(s) 2026-10-10 02:04 UTC |
| USGS global Vs30 mosaic (site conditions) geology | ok | 30 arc-second grid (about 1 km), topographic-slope proxy with regional insets; m/s. The 610 MB global file is kept in the user cache and clipped to the shaking box. | 118.3 kB | US Government work, public domain; cite the USGS | U.S. Geological Survey, Global Vs30 Mosaic Heath, D. C., Wald, D. J., Worden, C. B., Thompson, E. M., Smoczyk, G. M. (2020) A global hybrid VS30 map with a topographic slope-based default and regional map insets, Earthquake Spectra 36(3), 1570-1584. | source clipped from the global grid 2026-10-10 02:04 UTC |
| GEM Global Active Faults database (harmonized) faults | ok | Fault traces with slip rate and kinematics where known; features whose extent touches the shaking box +/- 0.5 degree. | 56.8 kB | CC BY-SA 4.0 (share-alike) | GEM Foundation, Global Active Faults Database (Styron & Pagani 2020), CC BY-SA 4.0 Styron, R. and Pagani, M. (2020) The GEM Global Active Faults Database, Earthquake Spectra 36(S1), doi:10.1177/8755293020944182 | source 22 fault features 2026-10-10 02:04 UTC |
| USGS ShakeMap full grid, rupture and uncertainty other | ok | grid.xml (MMI, PGA, PGV, SA on the full grid), rupture.json, uncertainty.xml of the preferred ShakeMap version at fetch time. | 62.2 MB | US Government work, public domain | U.S. Geological Survey, Earthquake Hazards Program Worden, C. B. et al. (2020) Probabilistic relationships between ground-motion parameters and MMI, BSSA 110(4); USGS ShakeMap. | – 3 file(s) from the event's shakemap product 2026-10-10 02:04 UTC |
| USGS ground failure: landslide and liquefaction models other | ok | Model GeoTIFFs (Jessee 2018, Nowicki 2014, Godt 2008, Zhu 2015/2017) and info.json for the event's ShakeMap version. | 5.9 MB | US Government work, public domain | U.S. Geological Survey, Earthquake Hazards Program Nowicki Jessee, M. A. et al. (2018) JGR Earth Surface 123 (landslide); Zhu, J. et al. (2017) Engineering Geology 226 (liquefaction); Allstadt, K. E. et al. (2022) Ground failure ShakeMap-based hazard. | – 8 file(s) from the event's ground-failure product 2026-10-10 02:04 UTC |
Public tier: layers are listed and linked to their source; the files themselves are not published. Only layers with an open licence and a small size are drawn on the map.