Democratic Republic of the Congo imagery and land cover data

satellite imagery by Satellogic, acquired 2026-05-22 to 2026-05-22, 50.1 cm per pixel, published on OpenAerialMap.

satellite imagery by josue, acquired 2026-04-10 to 2026-04-11, 3000 cm per pixel, published on OpenAerialMap.

**UNOSAT code FL20221125COD** Cette carte illustre l'étendue des eaux de surface détectées par satellite en utilisant de l'imagerie satellite VIIRS au-dessus des provinces de l'Equateur, du Nord-Ubangi et du Sud-Ubangi (République Démocratique du Congo) entre le 1er et le 28 novembre 2022. Dans la zone analysée d'environ 210 000 km², un total d'environ 6 800 km² de terres semblent être inondées. L'étendue des eaux de surface semble être plus petite d'environ 4 000 km² comparé à la période du 1er au 30 novembre 2019. D'après les données démographiques de Worldpop et les eaux de surface détectées par satellite, environ 245 000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées. Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

**UNOSAT code FL20221125COD** Cette carte illustre l'étendue des eaux de surface détectées par satellite en utilisant de l'imagerie satellite VIIRS dans la province de Tshopo (République Démocratique du Congo) entre le 24 novembre et le 05 décembre 2022. Dans la zone analysée d'environ 200 000 km², un total d'environ 1 600 km² de terres semblent être inondées. L'étendue des eaux de surface semble être du même niveau qu'entre les dates du 25 novembre au 05 décembre 2019. D'après les données démographiques de Worldpop et les eaux de surface détectées par satellite, environ 70 000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées. Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

**UNOSAT code FL20230508COD, GDACS Id: 1101981** This map illustrates satellite-detected landslides/mudflow-related impact in Kalehe Territory, Sud-Kivu Province, Democratic Republic of the Congo as observed from a Sentinel-2 image acquired on 7 May 2023. Within the analysed area of about 9,000 ha, 90 ha of landslide scars were observed. 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: FL20231229COD** This map illustrates satellite-detected surface waters and landslide location in Kinshasa Province, Democratic Republic of The Congo, as observed from a WorldView-3 image acquired on 13 January 2024, at 10:36 local time. Within the analysed area of 130km2, approximately 4 km2 of land appear to be flooded and a landslide location observed. Within the analysed area 9,352 buildings are identified as potentially affected by the floods and landslide. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20211008COD** This map illustrates satellite-detected surface waters in Muvaramu village, Ituri province as observed from a Sentrinel-2 acquired on 04 October 2021. Within the analyzed area, waters appear to have slightly progressed inland since 27 January 2021. 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: FL20231229COD** This map illustrates satellite-detected surface waters and landslides in Kinshasa Province, Democratic Republic of The Congo, as observed from a Sentinel-2 image acquired on 28 December 2023, at 10:21 local time. Within the analysed area of 44,000 ha, approximately 3 ha of landslide scars are observed and about 460 ha of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the landslide scar extent, about 25,000 people are potentially exposed or living close to landslide and flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please provide ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20211008COD** This map illustrates satellite-detected surface waters in Kasenyi town, Gethy Zone de Santé as observed from a Sentrinel-2 acquired on 04 October 2021. Within the analyzed area, the surface waters appears to have slightly progressed inland since 27 January 2021. 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: FL20211008COD** This map illustrates satellite-detected surface waters in Gengere Pamoth village, Ituri province as observed from a Sentrinel-2 acquired on 09 October 2021. Within the analyzed area, the surface waters appears to have progressed inland since 27 January 2021. 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).