Satellite detected water extents in Andapa District, Sava Region, Madagascar as of 9 March 2025

**UNOSAT code: TC20250308MDG, GDACS ID: 1154** This map illustrates the potentially affected cropland in Maroantsetra District, Analanjirofo Region, Madagascar, based on RCM-2 satellite images acquired on 9 March 2025. In the analyzed area of approximately 1,200 km², about 140 km² of cropland is identified, of which about 35 km² appears to be affected by floodwaters. This is a preliminary analysis and has not yet been validated on the ground. Ground feedback is requested and can be sent to the United Nations Satellite Centre (UNOSAT). Important Note: Flood analysis based on radar images may underestimate the presence of standing water in built-up or densely vegetated areas due to the backscattering properties of the radar signal.

**UNOSAT code: TC20220201MDG** This map illustrates satellite-detected surface waters over Betroka district, Anosy region, Madagascar observed from Sentinel-2 image acquired on 9 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about ~1,000 km2, a total of about 35 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 2,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: TC20240328MDG, GDACS ID: 1001057** This map illustrates satellite-detected water extent in Sambava and Vohemar Districts, Sava Region, Madagascar as observed from a TanDEM-X satellite image acquired on 01 April 2024 at 18:09 local time (15:09 UTC). Within the analysed area of about 850 km², a total of about 10 km² of lands appear to be affected with flood waters. 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 Mananjary and Nosy-Varika Districts, Vatovavy Fitovinany Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 800km2, a total of about 105 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 13,400 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).

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Vangaindrano district, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-2 image acquired on 1 March 2022 at 10:00 local time. Within the analyzed cloud free zones of about 300km2, a total of about 25 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 5,500 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).

This map illustrates satellite-detected water extent as of 09 January 2018 over Soaneriana Ivongo district, Analanjirofo region, in Madagascar as detected by Radarsat-2. Limited standing waters can be observed in the area. These zones are mainly agricultural and/or swamps. These waters are the results of recent heavy rains following the cyclone AVA-18 which made landfall the 05 January 2018. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas, due to 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.