1c6bac18-d778-42e4-9cda-4a73ee3002dc eng Mr. Kabir Uddin ICIMOD GIS and Remote Sensing Specialist 2026-01-22T14:53:46 North American Profile of ISO 19115:2003 WGS 1984 Flood data of Bangladesh August, 2017 2017-08-11 Mr. Kabir Uddin ICIMOD GIS and Remote Sensing Specialist 977-1-5275222 Nepal Kabir.Uddin@icimod.org ICIMOD. (2017). Flood data of Bangladesh April, 2017 [Data set]. ICIMOD. https://doi.org/10.26066/RDS.34491 Bangladesh is one of the most flood-affected countries in the world. In the last few decades, flood frequency, intensity, duration, and devastation have increased in Bangladesh. Identifying flood-damaged areas is highly essential for an effective flood response. This study aimed at developing an operational methodology for rapid flood inundation and potential flood damaged area mapping to support a quick and effective event response. Sentinel-1 images from March, April, June, and August 2017 were used to generate inundation extents of the corresponding months. The 2017 pre-flood land cover maps were prepared using Landsat-8 images to identify major land cover on the ground before flooding. The overall accuracy of flood inundation mapping was 96.44% and the accuracy of the land cover map was 87.51%. The total flood inundated area corresponded to 2.01%, 4.53%, and 7.01% for the months April, June, and August 2017, respectively. Based on the Landsat-8 derived land cover information, the study determined that cropland damaged by floods was 1.51% in April, 3.46% in June, 5.30% in August, located mostly in the Sylhet and Rangpur divisions. Finally, flood inundation maps were distributed to the broader user community to aid in hazard response. The data and methodology of the study can be replicated for every year to map flooding in Bangladesh. Determine extent of flood inundation areas to support rapid disaster response http://rds.icimod.org:8080/geonetwork/srv/eng/resources.get?uuid=1c6bac18-d778-42e4-9cda-4a73ee3002dc&fname=Flood_map_Aug_RDS_Layout_s.png thumbnail png http://rds.icimod.org:8080/geonetwork/srv/eng/resources.get?uuid=1c6bac18-d778-42e4-9cda-4a73ee3002dc&fname=Flood_map_Aug_RDS_Layout.png large_thumbnail png Inundation Areas Disaster Sentinel SAR image C-Band SAR Rapid Response Radar Image Flood Sentinel-1 Bangladesh Brahmaputra Jamuna River Meghna River Haor Region Creative Commons Attribution 4.0 International (CC BY 4.0) Citation: Uddin, K.; Matin, M.A.; Meyer, F.J. Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh. Remote Sens. 2019, 11, 1581. 30 eng geoscientificInformation 92.67366 88.010567 20.693343 26.634399 2017-06-23 2017-06-30 ICIMOD 977-1-5003222 metadata@icimod.org