Satellite Detected Waters in Elegu Town, Amuru District, Uganda

This map illustrates satellite-detected flood water extent along Tana River, Bura Sub County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana and the surrounding land between the primary road and the limit of the Tana River boundary, specifically were the population is concentrated. Within the analysis extent, more than 9,100 ha of land appear to be inundated and more than 9,800 people are living inside this flood water extent. 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: FL20211008COD** This map illustrates satellite-detected surface waters in Gengere Pamoth village, Ituri province as observed from a Sentrinel-2 acquired on 09 October 2021. Within the analyzed area, the surface waters appears to have progressed inland since 27 January 2021. 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).

This map illustrates the satellite-detected surface waters extent and evolution over Niamey and surroundings in Niger as observed from the Sentinel-1 images acquired on 14 and 26 August 2017. Within the analysed area, an increase of surface waters extent was observed from the 26 August 2017 image: ~7,870 ha of surface water were observed the 14 August 2017 and reached ~10,210 ha the 26 August 2017. All over the analysed zone, it corresponds to an evolution of about 30%. In Niamey an increase of water surface of 320 ha was observed corresponding to an evolution of ~20% by comparison to the surface water detected on 14 August 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**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

**UNOSAT code: FL20211008COD** This map illustrates satellite-detected surface waters in Muvaramu village, Ituri province as observed from a Sentrinel-2 acquired on 04 October 2021. Within the analyzed area, waters appear to have slightly progressed inland since 27 January 2021. 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).

This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 people are living inside this flood water extent. 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.