Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine

Author:

Singha MrinalORCID,Dong JinweiORCID,Sarmah Sangeeta,You NanshanORCID,Zhou Yan,Zhang Geli,Doughty RussellORCID,Xiao XiangmingORCID

Funder

the National Natural Science Foundation of China

Key Research Program of Frontier Sciences

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference58 articles.

1. Adikari, Y., Yoshitani, J., 2009. Global trends in water-related disasters: an insight for policymakers. World Water Assessment Programme Side Publication Series, Insights. The United Nations, UNESCO. International Centre for Water Hazard and Risk Management (ICHARM).

2. Remote sensing-based quantification of the impact of flash flooding on the rice production: a case study over Northeastern Bangladesh;Ahmed;Sensors,2017

3. Challenges for flood risk management in flood-prone Sirajganj region of Bangladesh;Ali;J. Flood Risk Manage.,2019

4. Unsupervised rapid flood mapping using Sentinel-1 GRD SAR images;Amitrano;IEEE Trans. Geosci. Remote Sens.,2018

5. The impacts of climate change on river flood risk at the global scale;Arnell;Clim. Change,2016

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