Satellite detected water and landslide extents in Kinshasa Province, Democratic Republic of The Congo as of 13 January 2024

**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: FL20250408COD** This application provides flood impact assessment in Kinshasa, Democratic Republic of the Congo The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

**UNOSAT code: FL20240102COG** This map illustrates satellite-detected surface waters and landslides/mudflow extent in the Brazzaville Department, Republic of Congo, as observed from a WorldView-2 image acquired on 8 February 2024, at 10:31 local time. Within the analyzed area of 30,000 hectares, approximately 190 hectares of landslide scars/ mudflow extent are observed, and about 400 hectares of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the extent of landslides/mudflows indicate that about 30,000 people are potentially exposed or living close to landslide and flooded areas. UNOSAT identified a total of 458 structures potentially affected by landslide and flood, along with 19 affected road. 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: FL20240102COG** This map illustrates satellite-detected surface waters and landslides/mudflow extent in Brazzaville and Pool Departments, Republic of Congo, as observed from a Sentinel-2 image acquired on 28 December 2023, at 10:21 local time. Within the analysed area of 30,000 ha, approximately 190 ha of landslide scars/mudflow extent are observed and about 230 ha of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the landslide scar/mudflow extent, about 15,000 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: FL20240102COG** This map illustrates cumulative satellite-detected minimum floodwater using VIIRS in Republic of Congo between 29 December 2023 and 2 January 2024. Within the cloud free analysed area of about 330,000 km2, a total of about 1,000 km2 of lands appear to be affected with flood waters. Based on Worldpop population data and the minimum flood water coverage, ~114,000 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 provide ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Minimum floodwater extent indicates the portion of the pixel (375m) covered by 80 to 100% of flood water.

**UNOSAT code: FL20191118COD** This map illustrates satellite-detected flooded waters along the Ubangui River over Mobayi-Mbongo,Mobayi-Mbongo Territory, Nord-Ubangi Province in Democratic Republic of the Congo as observed from SPOT 7 imagery acquired on 16 November 2019. UNITAR-UNOSAT has identified about 60 buildings/houses likely surrounded by waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.