Product ID: 3553 - English
Published: 1 Jun, 2022
GLIDE: FL20220525BGD
Published: 1 Jun, 2022
GLIDE: FL20220525BGD
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This map illustrates satellite-detected surface waters in Sylhet and Sunamganj Districts, Sylhet Division, Bangladesh as observed from a Chaohu-1 image acquired on 25 May 2022 at 22:23 local time. Within the analyzed area of about 730 km2, about 420 km2 of lands appear to be flooded. In this area, about 300 km2 of croplands and 70 km2 of herbaceous wetland appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters, about 307,000 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 backscattering properties of the radar signal.
Satellite Data: Chaohu-1
Imagery Dates: 25 May 2022 at 16:23 UTC
Resolution: 3 m
Copyright: SPACETY & The 38th Institute of China Electronic Technology Corporation & Institute of Space Integrated Ground Network (Anhui)
Source : Volunteered Rapid Disaster Monitoring and Mapping (VoRDM), ChinaGEOSS Data Sharing Network (ChinaGEOSS DSNet) and National Earth Obervation Data Center (NODA)
Administrative boundaries: : Bangladesh Bureau of Statistics (BBS)
Population data: WorldPop [2020]
Populated place: OpenStreetMap
Road data: OpenStreetMap
Waterways: OpenStreetMap
Reference Water: ESA WorldCover
Cropland data: ESA WorldCover
Herbaceous wetland data: ESA WorldCover
Copyright: © ESA WorldCover project 2020 / Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium?
Background: ESRI World Imagery
Insets: Sentinel-2/26 May 2022 and 17 Mar. 2022
Analysis: United Nations Satellite Centre (UNOSAT)
Production: United Nations Satellite Centre (UNOSAT)
Imagery Dates: 25 May 2022 at 16:23 UTC
Resolution: 3 m
Copyright: SPACETY & The 38th Institute of China Electronic Technology Corporation & Institute of Space Integrated Ground Network (Anhui)
Source : Volunteered Rapid Disaster Monitoring and Mapping (VoRDM), ChinaGEOSS Data Sharing Network (ChinaGEOSS DSNet) and National Earth Obervation Data Center (NODA)
Administrative boundaries: : Bangladesh Bureau of Statistics (BBS)
Population data: WorldPop [2020]
Populated place: OpenStreetMap
Road data: OpenStreetMap
Waterways: OpenStreetMap
Reference Water: ESA WorldCover
Cropland data: ESA WorldCover
Herbaceous wetland data: ESA WorldCover
Copyright: © ESA WorldCover project 2020 / Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium?
Background: ESRI World Imagery
Insets: Sentinel-2/26 May 2022 and 17 Mar. 2022
Analysis: United Nations Satellite Centre (UNOSAT)
Production: United Nations Satellite Centre (UNOSAT)