Satellite detected water extent in Garissa City and Mororo Village, Kenya as of 29 April 2024

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected surface waters in Garissa City and Mororo Village, Kenya, as observed from a Pléiades image acquired on 5 May 2024 at 07:36 UTC Within the analysed area , a total of about 22 km² of land appears to be flooded. Furthermore, within the analyzed area, 3,377 buildings are identified as affected by the floods, along with about 90 km of roads, as of 5 May 2024 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: FL20231124KEN** This map illustrates satellite-detected water extent in Garissa City, Dujis County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time. Within analysed area of about 220 km², a total of about 45 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 6,500 buildings are identified as affected by the floods. 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: FL20231124KEN** This map illustrates satellite-detected water extent in Dadaab Town, Dadaab County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time and a Landsat 9 image acquired on 21 November 2023 at 10:30 local time. Within analysed area of about 1,000 km², a total of about 110 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 4,600 buildings are identified as affected by the floods. 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 FL20230321KEN** This map illustrates satellite detected surface waters in Dagahaley Refugee Camp, Dadaab sub-county, Garissa county, Kenya as observed from a Sentinel-2 image acquired on 26 March 2023 at 07:49 UTC. Within the analyzed area of about 45 km2, about 8 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 8600 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).

This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected surface waters in Nairobi and Machakos County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 22 km² of land appears to be flooded. UNITAR-UNOSAT identified 4,246 affected structures, about 94 km of affected roads. 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).