Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/22887
Title: 
Authors: 
Subjects: 
Flood hazards
Sentinel-1 images
Google Earth Engine
Pearl River Basin
Issue Date: 
2021
Citation: 
Qiu, J., Cao, B., Park, E., Yang, X., Zhang, W., & Tarolli, P. (2021). Flood monitoring in rural areas of the Pearl River Basin (China) using Sentinel-1 SAR. Remote Sensing, 13(7), Article 1384. https://doi.org/10.3390/rs13071384
Abstract: 
Flood hazards result in enormous casualties and huge economic losses every year in the Pearl River Basin (PRB), China. It is, therefore, crucial to monitor floods in PRB for a better understanding of the flooding patterns and characteristics of the PRB. Previous studies, which utilized hydrological data were not successful in identifying flooding patterns in the rural and remote regions in PRB. Such regions are the key supplier of agricultural products and water resources for the entire PRB. Thus, an analysis of the impacts of floods could provide a useful tool to support mitigation strategies. Using 66 Sentinel-1 images, this study employed Otsu’s method to investigate floods and explore flood patterns across the PRB from 2017 to 2020. The results indicated that floods are mainly located in the central West River Basin (WRB), middle reaches of the North River (NR) and middle reaches of the East River (ER). WRB is more prone to flood hazards. In 2017, 94.0% flood-impacted croplands were located in WRB; 95.0% of inundated croplands (~9480 hectares) were also in WRB. The most vulnerable areas to flooding are sections of the Yijiang, Luoqingjiang, Qianjiang, and Xunjiang tributaries and the lower reaches of Liujiang. Our results highlight the severity of flood hazards in a rural region of the PRB and emphasize the need for policy overhaul to enhance flood control in rural regions in the PRB to ensure food safety.
URI: 
ISSN: 
2072-4292
DOI: 
Grant ID: 
National Natural Science Foundation of China (Grant no.: 41871017)
Guangzhou University (Grant no.: 69-18ZX1000201)
Planning Grant (Grant no.: SUG-NAP EP3/19)
MOE Academic Research Fund (MOE AcRF (Tier 1) grant no.: RT6/19)
Funding Agency: 
Guangzhou University, China
Ministry of Education, Singapore
National Natural Science Foundation of China
File Permission: 
Open
File Availability: 
With file
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