Flood data of Bangladesh on Aug 24, 2017
Bangladesh is one of the most flood affected country in the world. The frequency, intensity and duration of floods has been increased during last few decades. Due to increased population settlements in floodplains and irregular development damage of infrastructure, crop and property has increased creating severe impact on lives and livelihood. Understanding the severity and identification of extent and types of flood damage is highly important to plan effective response. The aim of this study was to develop appropriate methodology to determine extent of flood and damaged areas in near real time basis to support operational response. We have used Sentinel-1 synthetic aperture radar (SAR) images to generate flood extend data for the year 2017.
Simple
- Date ( Publication )
- 2017-08-24
- Purpose
- Understanding the flood severity and identification of flood inundation areas.
- Status
- Completed
- Maintenance and update frequency
- As needed
- ( Theme )
-
- Flood2017
- Sentinel-1
- River
- Water area
- Keywords ( Place )
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- Bangladesh
- Jamuna
- Padma
- Nepal
- Koshi
- Use limitation
- Free to use with attribution to the source. Suggested citation: ICIMOD. (2017). Flood data of Bangladesh April, 2017 [Data set]. ICIMOD. https://doi.org/10.26066/RDS.34491
- Use limitation
- 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.
- Access constraints
- Copyright
- Use constraints
- Copyright
- Distance
- 30 m
- Metadata language
- eng
- Character set
- UTF8
- Topic category
-
- Geoscientific information
N
S
E
W
))
- Reference system identifier
- WGS 1984
- Hierarchy level
- Dataset
- File identifier
- 9cf1e348-bc23-40d8-989b-1c03a2476182 XML
- Metadata language
- eng
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2020-09-08T14:35:37
- Metadata standard name
- North American Profile of ISO 19115:2003
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