Democratic Republic of the Congo buildings and infrastructure data
+ Follow new data12 datasets about buildings and infrastructure in Democratic Republic of the Congo.
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');
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
This dataset shows the schools facilities in the target CP3 program health areas of the DRC Red Cross. CP3 program is deployed in 4 health zones find in 2 provinces, Kinshasa and Kongo Central province.
Formations sanitaires (FoSa) de la ville de Goma et du territoire de Nyiragongo répertoriées dans OpenStreetMap au 27 mai 2021. Health structures in Goma city and Nyiragongo territory , in the Democratic Republic of the Congo, extracted from the OpenStreetMap database, as of May 27th, 2021.
**UNOSAT code FL20230508COD, GDACS Id: 1101981** This map illustrates the potentially damaged structures/buildings affected by landslides in Chabondo village, Kalehe Territory, Sud-Kivu Province, DR. of the Congo as detected from a Pleiades image acquired on the 09th May 2023. Within the extent of this map, at least 544 structures appear to be affected or potentially affected by landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230508COD, GDACS Id: 1101981** This map illustrates the potentially damaged structures/buildings affected by landslides in Nyabibwe Town, Kalehe Territory, Sud-Kivu Province, DR. of the Congo as detected from a Pleiades image acquired on the 09th May 2023. Within the extent of this map, at least 623 structures appear to be affected or potentially affected by landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20191118COD** This map illustrates satellite-detected flooded structures along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified within the extent of this map 276 potentially flooded structures north-west of Zongo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: FL20191118COD** This map illustrates satellite-detected flooded structures along the Ubangui River over Libenge, Libenge Territory, Sud-Ubangui Territory in Democratic Republic of the Congo as observed from Pleiades imagery acquired on 15 November 2019. UNITAR-UNOSAT identified 22 potentially flooded structures west of Libenge, within the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: VO20210523COD** Cette carte illustre les structures et bâtiments potentiellement impactées par la coulée de lave dans le district de Nyiragongo, province du Nord-Kivu en République Démocratique du Congo suite à l'éruption du volcan Nyiragongo du 22 mai 2021. A partir de l'analyse d'une image radar TerraSAR-X acquise le 24 mai 2021 à 16:13 UTC, UNITAR-UNOSAT a observé une coulée de lave qui s'est arrêtée à 700m des installations aéroportuaires. Sur l'étendue de l'analyse, environ 1,600 structures sont potentiellement impactées par la coulée de lave à la date d'acquisition de l'image radar. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Veuillez d'envoyer vos commentaires à UNITAR-UNOSAT. Note: L'analyse de coulée de lave à partir d'une image radar peut surestimer la trace de la coulée de lave à cause du coefficient de rétrodiffusion du signal radar.
**UNOSAT code: VO20210523COD** This map illustrates potentially affected structures and buildings in Nyiragongo district, Nord-Kivu province, DR Congo as detected by satellite image acquired after the eruption of Mount Nyiragongo volcano on 22 May 2021. UNITAR-UNOSAT analysis used a TerraSAR-X image acquired on 24 May 2021, at 16:13 UTC, to observe the lava flow. Within the analysis extent, about 1,600 structures are potentially affected by the lava flow. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Lava flow analysis from radar images may overestimate the presence of the lava tract due to the backscattering properties of the radar signal.