Satellite detected water extent over Samegrelo-Zemo Svaneti and Imereti Regions, Georgia as of 23 Jun 2022.

**UNOSAT code FL20231018GHA** This map illustrates cumulative satellite-detected water extent as observed from a Sentinel-1 imagery acquired on the 23 October 2023 at 18:10 local time. Within the analysed area of about 4,300 km², a total of about 53 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 12,000 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 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.

**UNOSAT code FL20230807LAO** This map illustrates cumulative satellite-detected surface waters over Khammouan & Savannakhet Provinces, Lao PDR as oberved from a Sentinel-1 image acquired on 04 August 2023 at 18:04 local time. Within the analysed area of about 25,000 km², a total of about 160 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analysed area, ~18,000 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 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 backscaterring 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: FL20210729YEM** This map illustrates satellite-detected surface waters over Sirwah, Bani Dabyan, and Al Jubah districts of Yemen as observed from a Sentinel-1 radar image acquired on 26 July 2021. Within the analyzed area of about 3,800 km2, a total of about 6.5 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,800 people may be 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.

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in Bolikhamxai and Khammouan Provinces, Lao PDR as observed from Sentinel-1 satellite images acquired on 28 July 2025 at 05:50local time (22:50 UTC). Within the analyzed area of approximately 14,000 km², about 200 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 14,000 people are potentially exposed or living close to 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

**UNOSAT code: FL20191023SSD** This map illustrates satellite-detected surface water in Unity, Jonglei and Lakes State of South Sudan as observed from Sentinel-1 imagery acquired on 23 October 2019. Within the analysed extent of about 85,000 km2, a total about 1,180 km2 of land appear to be flooded. 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 Sentinel-1 imagery acquired on 23 October 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal