Satellite detected water extent in Riosucio Municipality, Chocó Department, Colombia as of 17 November 2024

**UNOSAT code: FL20241112COL, GDACS ID: 1102988** This map illustrates satellite-detected water extent in Riosucio Municipality, Chocó Department & Vuigía del Fuerte Municipality, Antioquia Department Colombia as observed from a TanDEM-X radar image acquired on the 17 November 2024. Within the analysed area of about 1,130km², a total of about 25 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 based on radar images may underestimate the extent of standing water in built-up or densely vegetated areas due to the radar signal's backscattering properties.

**UNOSAT code: FL20241112COL, GDACS ID: 1102988** This map illustrates potentially affected structures in Riosucio Municipality, Chocó Department, Colombia as observed from a Pleiades satellite image acquired on 20 November 2024 at 11:07 Local Time. Within the analysis extent, UNOSAT identified 60 potentially affected structures amongst a total of 2,085 structures observed. 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: FL20200713BGD** This map illustrates satellite-detected surface waters over Bangladesh as observed from a TanDEM-X image acquired on 19 July 2020 due to the current monsoon rains. Within the analyzed area of about 14,000 km2, a total of about 6,800 km2 of lands 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 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: FL20241112COL, GDACS ID: 1102988** This map illustrates satellite-detected water extent in Uribia Municipality, La Guajira Department, Colombia as observed from a Sentinel-2 satellite image acquired on 15 November 2024 at 10:17 Local Time. Within the analysed area of about 220 km², a total of about 24 km² of lands appear to be affected with flood waters. UNOSAT identified 529 structures that appear to be not affected by 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).

This map illustrates satellite-detected water bodies and inundated areas in Mocoa city, Putumayo department in Colombia as seen on Resourcesat-2 satellite imagery collected 04 April 2017. Heavy rainfall in the area caused flooding, landslides and mudflow that affected the city. UNOSAT extracted a water index from the satellite image to determine areas of standing water as well as soils with varying levels of water content (i.e. mud). Within the city of Mocoa and the current map extent, about 18 km of roads are potentially affected. About 2900 buildings are within areas which experienced floods and mudflow. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

This map illustrates the satellite-detected surface waters extent in Ho Chi Minh City area and surroundings, as observed from the Radarsat-2 SAR image acquired on 18 December 2017. In the analysed area (~3000 km2) about 5,400 ha of lands, mainly agricultural and paddy fields are likely flooded. In addition, using WorldPop data, we can estimate that ~220,000 people are living within flooded 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.