Satellite detected waters extents, as of 15 December 2019 over Kota Tinggi and Mersing District, Johor State of Malaysia

**UNOSAT code: FL20191217MYS** This map illustrates satellite-detected surface water in Kluang and Mersing District, Johor State and Rompin District, Pahang State of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 3,500 km2, a total about 23 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 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal

**UNOSAT code: FL20191028CAF** This map illustrates satellite-detected water surface in Central African Republic and Democratic Republic of The Congo as observed from Sentinel-1 imagery acquired on 18 November 2019. Within the analysed extent of about 760 km2, a total about 6 km2 of land appear to be flooded in Basse-Kotto Prefecture of Central African Republic and about 1 km2 of land appear to be flooded in Nord-Ubangi Province of Democratic Republic of The Congo. 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.

This map illustrates the satellite-detected surface waters extent in the southern provinces of kien Giang, An Giang, Dong Thap & Can tho as observed from the Sentinel-1 SAR images acquired on 16 & 28 August 2018. In the analysed area, an increase of surface waters is observed mainly in agricultural and paddy fields areas. 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.

This map illustrates the satellite-detected surface waters extent and evolution in Thua Thien Hue Province, Vietnam, as observed from the Sentinel-1 images acquired on 06 December 2016 and 18 December 2016. Within the province area, an increase of surface waters extent was observed between the 06 and the 18 December 2016. ~38,400 ha of surface water were observed the 06 December 2016 and reached ~50,850 ha the 18 December 2016. All over the province area, it corresponds to an evolution of about 32%. This evolution was particularly observed in Phong Diên District (+6,100 ha) and Quang Diên District (+1,780 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20200101IDN** This map illustrates satellite-detected surface water in Banten, Dki Jakarta and Jawa Barat Province of Indonesia as observed from Sentinel-1 imagery acquired on the 2 January 2020. Approximately 258 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 2 January 2020 may seriously underestimate presence of standing flood water in built up areas due to 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