Satellite detected waters in Sirwah, Bani Dabyan, and Al Jubah districts of Yemen as of 26 July 2020
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✦ Suggested by OrionAI**UNOSAT code: FL20210729YEM** This map illustrates satellite-detected surface waters over Sirwah and Ma'rib City districts of Yemen as observed from a Sentinel-2 image acquired on 5 August 2021. From the previous preliminary flood assessment conducted on 2 August 2021, an additional 1.45 km2. Based on Worldpop population data and the detected surface waters, about 90 additional 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 FL20231105SOM** This map illustrates satellite-detected surface waters in Jilib District, Juba Dhexe & Afmadow Jamaame District, Juba Hoose Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 7,300 km², about 60 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 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 FL20231105SOM** This map illustrates satellite-detected surface waters in Bu'aaler and Saakow District, Juba Dhexe Region and Afmadow District, Juba Hoose Region Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 7,600 km², about 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 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: FL20240812YEM** This map illustrates satellite-detected water extent in Al Hodeidah Governorate, Yemen as observed from a Sentinel-2 satellite image acquired on 07 August 2024 at 10:59 local time . Within the cloud free analysed areas of about 20,000 km², a total of about 450 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood extent, approximately 170,000 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).
**UNOSAT code FL20231105SOM** This map illustrates satellite-detected surface waters in Baardheere District, Gedo Region and Saakow District, Juba Dhexe Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the map extent of about 4,900 km², about 50 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 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.
This map illustrates satellite-detected flood water extent in the district of Jilib, Middle Juba, Somalia. The analysis was conducted analyzing Sentinel-1 images acquired on the 1 May 2018. As observed from the satellite imagery, a total of 92,000 ha of land were inundated in the area of interest. The most affected districts are Saakow, with almost 38,000 ha of flooded land and southern Diinsoor, with almost 27,000 ha. At least 20 settlements are potentially located within the flooded area. 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.
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