Datasets > Bangladesh > 2020-2024

Satellite detected water extent over Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as of 28 May 2022

The Centre for Humanitarian Data · 2022 Full Details

Full Details

Title
Satellite detected water extent over Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as of 28 May 2022
Description
**UNOSAT code: FL20220525BGD** This map illustrates satellite-detected surface waters in Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as observed from a Sentinel-1 images acquired on 28 May 2022 at 18:04 local time and using an automated analysis with machine learning method. Within the analyzed area of about 12,000 km2, about 4,500 km2 of lands appear to be flooded. In this area, about 3,400 km2 of croplands and 1,000 km2 of herbaceous wetland appear to be likely affected by the flood waters. 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 ~935,000 people and Kishoreganj with ~779,000 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.
Creator
UN Operational Satellite Applications Programme (UNOSAT)
Publisher
The Centre for Humanitarian Data
Temporal Coverage
2022-05-31
Date Issued
2022-06-28
License
http://www.opendefinition.org/licenses/cc-by-sa
Access Rights
Public
Date Added
August 23, 2025
Provenance Statement
The metadata for this resource was last retrieved from Humanitarian Data Exchange on 2025-08-23.

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Cite and Reference

  • Citation
    UN Operational Satellite Applications Programme (UNOSAT) (2022). Satellite detected water extent over Sylhet, Mymensingh, Dhaka, and Chattogram Divisions, Bangladesh as of 28 May 2022. The Centre for Humanitarian Data. https://data.humdata.org/dataset/bb62ccb1-dbd3-4f49-94db-b51660191b6d (dataset)
  • BTAA Geoportal Link

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