Satellite detected water extent along the Nyabarongo river West and South of Kigali City in Southern and Eastern Provinces, Rwanda as of 5 May 2023

**UNOSAT code FL20230504RWA, GDACS Id: 1101977** This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 3 May 2023 at 18:20 local time. Within the analyzed area of about 6,000 km2, about 20 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in Southern Province Zambezia province with ~7,000 people, and Kigali City with ~5,600 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

**UNOSAT code: TC20220201MDG** This map illustrates satellite-detected surface waters in Farafangana and Vangaindrano districts, Atsimo Atsinanana region, Madagascar as observed from Sentinel-1 image acquired of 15 February 2022 at 05:12 local time. Within the analyzed area of about 1,700 km2, about 5 km2 of lands appear to be flooded. The water extent appears to have decreased of about 80 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal. Satellite Data: Sentinel-1 Imagery Date: 15 Feb 2022 at 02:12 Local time Resolution: 10 m Copyright: Contains modified Copernicus Sentinel Data [2022]Source: ESA

**UNOSAT code FL20230504RWA, GDACS Id: 1101977** This map illustrates satellite-detected landslides / mudslides around Kibingo, Congonil, Kagana and Ghanga Villages in Rutsiro District (Western Province, Rwanda) as observed/detected from a Sentinel-2 satellite imagery acquired on 07 May 2023 at 08:30 local time. Within the analysed area, about 2,5 km2 of landslides scars are observed. Some of past landslides seem to have been reactivated during these flooding/landslides event. 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: FL20240603LKA, GDACS ID: 1102660** This map illustrates satellite-detected water extent in the North Western Province, Sri Lanka, as observed from a Sentinel-1 image acquired on June 4, 2024, at 00:25 UTC. Within the analyzed area of about 4,000 km², a total of about 46 km² of land appears to be affected by floodwaters. The water extent appears to have receded by about 34 km² since May 23, 2024. Based on WorldPop population data and the flood extent, approximately 16,000 people are potentially exposed. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Farafangana and Vangaindrano districts, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12 local time. Within the analyzed area of about 500 km2, about 18 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: FL20251229MOZ** This map illustrates the flood extent derived from Sentinel-1 imagery acquired on 23 January 2026. Within the analysed area of approximately 43,500 km², an estimated 3,000 km² of land appears to be affected by floodwaters. Based on WorldPop spatial demographic data, approximately 230,000 people are exposed to or living near the flooded areas. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.