Buildings and infrastructure data

OpenStreetMap contains roughly 15.7 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 85% of the total buildings.The average age of data for this region is 3 years ( Last edited 3 months ago ) and 0% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: - name - building - building:levels - building:materials - addr:full - addr:housenumber - addr:street - addr:city - office - source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Archivo que contiene las construcciones mapeadas durante el mapatón Nacional de Perú CONIDA 2025.

République démocratique du Congo (RDC), Établissements éducatifs Points + Polygons : Interactive Online Map and Tabular spreadsheet (For multipolygons lat,lon=centroid) * First Column *Thematic* describes line Feature content : school, college, university * Objets Institutions de la santé (écoles, universités, collèges) Columns : thematic, osmtyhpe, lat (latitude), lon (longitude), osm_id (unique point id), amenity, school:FR, name, name:fr, name:en, operator:type, addr:housenumber, addr:street, addr:city, phone, building, source, source:data, source:date, source:name, source_ref, survey:date, note, attribution * OpenStreetMap data extraction from * ETL2HDX Procedures

République démocratique du Congo (RDC), Infrastructures, Mines et Fabrication Points + Lines + Polygons OSM Features Interactive Online Map - NOTE : WORK IN PROGRESS - Will be revised with the thematic variable describing more in detail group of facilities + adding Water facilities Thematic Variable = Infrastructures, Mining, Fabrication The file contains Industrial facilities, Mining, quarry, pipelines, Power lines and stations, communication towers and piers. The mkeys variable describes which OSM major keys are used to describe the facility. Variables : osmtype(node, way, relation) geomtype(point, line, polygone) , osm_id, lat, lon, thematic, mkeys (osm major keys), man_made, landuse, power, industrial, embankment, content, product, substance, location, name, operator, operator:type, private, address, addr:housenumber, addr:street, addr:city, building, building:levels, building:material, building:condition, building:status, note, layer, other_tags name, name:en, name:fr, operator, operator:type, natural, aerialway, aerodrome, aeroway, runway, taxiway, apron, helipad, heliport, iata, icao, public_transport, rail, railway, ref, route, network, station, service, shelter, harbor, bus, highway, bridge, tunnel, landuse, surface, building, building:levels, building:material, building:condition, building:status, building:min_level, address, addr:housenumber, addr:street, addr:city, layer, private, source_ref, source, source:name, source:date, source:data, source_ref:1, survey:date, timezone, toilets, type, voltage, weelchair, wikidata, wikipedia OSM Filter OSM features : thematic in ( 'Infrastructures, Mining, Fabrication');

Izabal department (GT-IZ), Guatemala: AI predictions of building footprint on Bing Maps images (approximately 2016-2019), see https://github.com/rodekruis/automated-building-detection. Produced in support to DRRT Guatemala for hurricane Eta and Iota. Coordinate reference system: WGS 84 / EPSG:4326

This dataset provides a rapid experimental Sentinel-1-based damage assessment product for the broader impacted area from the 24 June 2026 Venezuelan earthquakes. It includes both the entire analyzed area of the SAR analysis and the Overture Maps building footprints identified as likely damaged. This SAR product estimates 81,437 likely damaged buildings across the analyzed impacted area. This preliminary damage proxy product is intended to support rapid screening and prioritization, targeting of follow-up assessment, triangulation with VHR optical and radar images, and other damage assessments and products.

A rapid assessment of building damage from the 24 June 2026 Venezuela earthquake (M7.5 mainshock, M7.2 foreshock), centered near San Felipe and Yumare in north-central Venezuela, with strong shaking along the central coast and into greater Caracas. A preliminary version (v0) of this product was released on 27 June 2026 via the NASA Disaster Response and Coordination System. This second iteration (v1) expands area coverage: post-event Sentinel-1 acquisitions that were not available at the first release (v0) filled the coverage gaps within the Copernicus EMS / USGS ShakeMap Modified Mercalli Intensity ≥ VI (strong-shaking) area, raising coverage of that hazard-provenanced, damage-onset zone to 100% and increasing the number of Overture building footprints under monitoring by 26.5% (from 2,133,587 to 2,699,969, an increase of 566,382 footprints). We extended the Copernicus EMSR884 area of interest to a latitude of approximately 11.04°N to include all areas with strong shaking. Using Sentinel-1 satellite radar coherent change detection, we estimate **69,431 buildings were likely damaged or destroyed**, as of the most recent analyzed satellite pass on 1 July 2026 (10:16 UTC). The assessment covers the entire area activated under Copernicus EMS activation EMSR884 (USGS event us6000t7zp) and is a preliminary product. These data reflect abrupt surface change consistent with damage — a damage indicator, not a confirmation of damage for any individual building. Each building footprint carries a confidence tier (**possible / probable / high_confidence**) instead of the numeric damage probability score used in the previous delivery. The confidence tier **does not represent individual building-level damage severity**. Instead, it represents how anomalous the post-earthquake interferometric coherence was compared to roughly one year prior to the earthquake. This is described in more detail in the README and slide deck PDFs included below. ## Coverage and dates - **Post-event:** Sentinel-1 swaths from 24 June 2026 (22:49 UTC) to 1 July 2026 (10:16 UTC), spanning eight post-earthquake acquisitions. - **Pre-event:** 260 reference coherence images — per-scene matched-baseline stacks — from 24 April 2025 to 23 June 2026. - **Monitored universe:** 2,699,969 Overture Maps Foundation building footprints; post-earthquake acquisitions cover 100% of the USGS ShakeMap MMI ≥ VI area. ## What's in this dataset - `EMSR884_damage_confidence_20260701_v1.geojson` / `.gpkg` — confidence-tier quick-look layer: the 123,633 buildings flagged at any confidence tier, with `overture_id`, `damage_confidence` (possible 54,202 / probable 43,511 / high_confidence 25,920), and the binary `damage` flag (1 = probable or high_confidence; the 69,431 buildings with `damage` = 1). - `EMSR884_analyzed_area_20260701_v1.geojson` / `.gpkg` — outline of where usable satellite coverage existed, so unassessed ground is not mistaken for undamaged. - `EMSR884_adm2_damage_pct_20260701_v1.gpkg` — percent of assessed buildings damaged, by second-level administrative unit. All layers are EPSG:4326 (WGS84) and open in QGIS, ArcGIS, geopandas, or R. ## README and Presentation We have included a detailed README file and PowerPoint presentation in both English and Spanish below. - `EMSR884_damage_20260701_v1_README.pdf` — detailed README: data description, methods, and agreement analyses (English). - `EMSR884_damage_20260701_v1_README_ES.pdf` — the same README in Spanish. - `EMSR884_damage_20260701_v1_slide_deck.pdf` — 32-slide briefing deck (English). - `EMSR884_damage_20260701_v1_slide_deck_ES.pdf` — the same deck in Spanish. Additionally, we have recorded a video presentation available in our mirrored directory. ## Citation Cite as: Damage analysis of Copernicus Sentinel-1 data by Corey Scher and Jamon Van Den Hoek, Oregon State University. Overture Maps Foundation building footprints. ## Mirror https://oregonstate.app.box.com/folder/394695539753?s=yrgtsbwmpqpajuhzioq0k13ihfluuneg ## NASA Disasters Portal Interactive Map https://gis.earthdata.nasa.gov/portal/apps/mapviewer/index.html?webmap=0c3d77dd5aae46e4829d9a282477615c

Planimetric basemap polygon layer containing parking lot features. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

This dataset contains building footprints mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in Guatemala. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation.

This dataset contains building footprints mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in Paraguay. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation.

This dataset contains building footprints mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in Honduras. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation

This dataset contains building footprints mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in Colombia. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation

Part of the Humanitarian OpenStreetMap Team response activation for the 26 August 2026 Bhote Koshi and Trishuli flash flood in Nepal. AI-scored building damage per OpenStreetMap footprint across the upper Trishuli and Bhote Koshi corridor, from Rasuwagadhi to the Narayani confluence. Post imagery is a 26-scene Vantor open-data composite (2026-08-27 to 2026-09-08, roughly 0.4 m/px, about 9.8% cloud). Pre imagery is ESRI World Imagery. Building footprints come from OpenStreetMap and cover 20,367 features in the corridor; 8,421 fall inside the analyzed area and carry an AI damage class. Each feature carries `osm_id`, `osm_type`, `building`, a `damage` label (`no-visible-damage`, `minor-damage`, `major-damage`, `destroyed`) and a `damage_confidence`. Evaluated and validated against 3,896 OSM manually tagged affected buildings (3,185 destroyed + 711 damaged, 2026-09-12): destroyed precision 0.91, recall 0.78, F1 0.84; severe (major + destroyed) recall against manually tagged affected buildings 0.75. The reference layer is included in this dataset. Post-event imagery TMS: ``` https://titiler.hotosm.org/cog/tiles/WebMercatorQuad/{z}/{x}/{y}?url=https://production-raw-data-api.s3.amazonaws.com/ISO3/NPL/buildings/hot_flood_npl_buildings_damage_post.tif ``` For the wider corridor context, see Nepal Flood 2026 Flood Affected Area. - Source: OpenStreetMap, Vantor open data, ESRI World Imagery - Part of HOT disaster response exports on HDX by HOT

Historical baseline for OSM buildings that includes buildings not modified or digitized after March 20 2025 Building footprints across the region from OSM. Includes every feature tagged as a building (building=*), from residential homes through hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. OpenStreetMap is a free, collaborative world map built by volunteers. Completeness varies by region: urban areas are usually well-mapped, remote areas may be incomplete. Cross-check critical decisions with local field knowledge. Source: OpenStreetMap OSM tags: Key:building Part of many exports grid on HDX by the HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities from OpenStreetMap. Includes schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. OpenStreetMap is a free, collaborative world map built by volunteers. Completeness varies by region: urban areas are usually well-mapped, remote areas may be incomplete. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap - OSM tags: Key:amenity, Key:building - Part of: HOT exports on HDX by the Humanitarian OpenStreetMap Team

Education facilities from OSM. Includes schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. OpenStreetMap is a free, collaborative world map built by volunteers. Completeness varies by region: urban areas are usually well-mapped, remote areas may be incomplete. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap - OSM tags: Key:amenity, Key:building - Part of many exports grid on HDX by the HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT