Satellite detected water extent over Malawi and Mozambique as of 26 January 2022

**UNOSAT code: TC20220126MWI** This map illustrates the floods (cumulative) aggregated using Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis were carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 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 backscattering properties of the radar signal.

**UNOSAT code TC20230314MWI, GDACS Id: 1000961** This map illustrates satellite-detected surface waters in Southern Region, Malawi & Tete and Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 17 Mar. 2023 at 05:09 local time. Within the analyzed area in Malawi of about 5,000 km2, about 320 km2 of land appear to be flooded. Water extent appears to have increased of about 60km² since the 14 Mar. 2023. Within the analyzed area in Mozambique of about 20,500 km2, about 1,000 km2 of land appear to be flooded. Water extent appears to have increased of about 150km² since the 14 Mar. 2023. Based on Worldpop population data and the detected surface waters in the analyzed area in Malawi and Mozambique, respectively ~47,000 people and ~75,000 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 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: TC20220126MWI** This map illustrates population potentially exposed to floods (cumulative) aggregated by district in Malawi from Sentinel-1 images acquired between 26 January and 2 February 2022 about 05:00 local time. The flood analysis was carried out by using automated analysis with an Artificial Intelligence based method, and Worldpop spatial demographic data. About 102,000 people were exposed or living close to flooded areas. The population potentially exposed to floods are mainly located in the districts of Chikwawa with ~ 33,700 people and Nsanje with ~ 33,700 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 backscattering properties of the radar signal.

**UNOSAT code: TC20220124MOZ** This map illustrates satellite-detected surface waters in Malawi and Mozambique as observed from a Sentinel-1 image acquired on 02 February 2022 at 10:04 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 145,978 km2, about 859 km2 of lands 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 the districts of Mutarara, Cidade de Quelim and Morrumbala with respectively ~ 33,000 people, ~ 11,000 people, and with ~16,600 people. 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.

**UNOSAT code: TC20220126MWI** This map illustrates satellite-detected surface waters in Balaka, Blantyre, Neno, and Zomba districts, Southern region, Malawi as observed from a Sentinel-1 image acquired on 26 January 2021 at 05:16 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 1,000 km2, about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 5,400 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) . 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: TC20220124MOZ** This map illustrates satellite-detected surface waters in Zambezia Province, Mozambique as observed from a Sentinel-1 image acquired on 28 January 2021 at 05:00 local time and using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 44,000 km2, about 860 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population are mainly located in the districts of Maganja Da Costa with ~22,500 people, Namacurra with ~17,000 people and Pebane with ~7,000 people. 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.