Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1

doi:10.1088/1742-6596/1952/2/022051

	Rapid Flood Mapping based on Remote Sensing Cloud Computing and Sentinel-1
	Li,Jianfeng 1,2,4,5; Wang,Jiawei 1,2,4,5; Ye,Huping 3
刊名	Journal of Physics: Conference Series
	2021-06-01
卷号	1952 期号:2
关键词	remote sensing cloud computing Sentinel-1 flood mapping
ISSN号	1742-6588
DOI	10.1088/1742-6596/1952/2/022051
英文摘要	Abstract 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.
语种	英语
出版者	IOP Publishing
WOS记录号	IOP:1742-6588-1952-2-022051
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164182]
专题	中国科学院地理科学与资源研究所
作者单位	1.Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural Resources, Xi’an, China 2.Shaanxi Province Land Engineering Construction Group, Xi’an, China 3.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China 4.Institute of Shaanxi Land Engineering and Technology Co., Ltd., Xi’an, China 5.Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi’an, China
推荐引用方式 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).