Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1
Li,Jianfeng1,3,4,5; Wang,Jiawei1,3,4,5; Ye,Huping2
Source PublicationJournal of Physics: Conference Series
AbstractAbstract Flood is a natural disaster with the highest frequency and the widest influence range in the world, which seriously restricts human survival and economic development. Obtaining flood inundation range quickly and accurately has important practical significance for flood disaster assessment, rescue and resource allocation. Based on Google Earth Engine cloud platform and Sentinel-1 radar images, a quick flood inundation range extraction model is constructed and applied to the analysis of severe floods in Matala District, Sri Lanka in May 2017. The results show that the flood in Matala area is mainly concentrated in the south and southwest, and the surface water area has expanded by 5 times, among which the flood area in Thihagoda district is the most serious, accounting for 29.28% of the total area. The model has high efficiency and strong feasibility, which can be widely used in flood emergency monitoring.
Keywordremote sensing cloud computing Sentinel-1 flood mapping
WOS IDIOP:1742-6588-1952-2-022051
PublisherIOP Publishing
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Document Type期刊论文
Affiliation1.Shaanxi Province Land Engineering Construction Group, Xi’an, China
2.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
3.Institute of Shaanxi Land Engineering and Technology Co., Ltd., Xi’an, China
4.Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural Resources, Xi’an, China
5.Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi’an, China
Recommended Citation
GB/T 7714
Li,Jianfeng,Wang,Jiawei,Ye,Huping. Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1[J]. Journal of Physics: Conference Series,2021,1952(2).
APA Li,Jianfeng,Wang,Jiawei,&Ye,Huping.(2021).Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1.Journal of Physics: Conference Series,1952(2).
MLA Li,Jianfeng,et al."Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1".Journal of Physics: Conference Series 1952.2(2021).
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