Product ID: 3562 - English
Published: 20 Jun, 2022
GLIDE: FL20220525BGD


Product Links
PDF (16.3MB)     - Static viewing and printing
Shapefile          - Download a Shapefile of data
WebMap          - Dynamic viewing in a browser
Geodatabase   - Download data in the ESRI format

This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a RCM-1 images acquired on 19 Jun. 2022 at 18:02 local time. Within the analyzed area of about 22,300 km2, about 9,500 km2 of lands appear to be flooded. Water extent appears to have increased of about 2,150 km2 since the period between 25 to 28 May 2022.
Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Sunamganj with ~1,822,000 people and Sylhet with ~1,550,000 people.
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 (1): RCM-1
Imagery Dates: 18 Jun. 2022 at 23:45 UTC and 19 Jun at 12:02 UTC
Resolution: 16 m
Copyright: RADARSAT Constellation Mission Imagery © Government of Canada (2022)
Source: CSA / RCM-1
Satellite Data (2): Sentinel-1
Imagery Dates: 25 May 2022 at 23:47 UTC and 28 May at 12:04 UTC
Resolution: 10 m
Copyright: Contains modified Copernicus Sentinel Data [2022]
Source: ESA

Administrative boundaries: : Bangladesh Bureau of Statistics (BBS)
Population data: WorldPop [2020]
Populated place: OpenStreetMap
Road data: OpenStreetMap
Waterways: OpenStreetMap
Airport data:MRVAM project of the Department of Disaster Management (DDM)
Reference Water: ESA WorldCover
Copyright: © ESA WorldCover project 2020 / Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium?
Background: ESRI World Imagery
Analysis: United Nations Satellite Centre (UNOSAT)
Production: United Nations Satellite Centre (UNOSAT)