Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2

doi:10.1371/journal.pone.0253209

	Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2
	Li, Jianfeng 1,2,3,4; Pen, Biao 1,2,3,4; Wei, Yulu 1,2,3,4; Ye, Huping 5
刊名	PLOS ONE
	2021-06-18
卷号	16 期号:6 页码:17
ISSN号	1932-6203
DOI	10.1371/journal.pone.0253209
通讯作者	Ye, Huping(yehp@igsnrr.ac.cn)
英文摘要	To realize the accurate extraction of surface water in complex environment, this study takes Sri Lanka as the study area owing to the complex geography and various types of water bodies. Based on Google Earth engine and Sentinel-2 images, an automatic water extraction model in complex environment(AWECE) was developed. The accuracy of water extraction by AWECE, NDWI, MNDWI and the revised version of multi-spectral water index (MuWI-R) models was evaluated from visual interpretation and quantitative analysis. The results show that the AWECE model could significantly improve the accuracy of water extraction in complex environment, with an overall accuracy of 97.16%, and an extremely low omission error (0.74%) and commission error (2.35%). The AEWCE model could effectively avoid the influence of cloud shadow, mountain shadow and paddy soil on water extraction accuracy. The model can be widely applied in cloudy, mountainous and other areas with complex environments, which has important practical significance for water resources investigation, monitoring and protection.
资助项目	Tianjin Intelligent Manufacturing Project[Tianjin-IMP-2018-2] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA2003030201] ; National Natural Science Foundation of China[41771388] ; National Natural Science Foundation of China[41971359] ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd ; Xi' an Jiaotong University[2021WHZ0090]
WOS关键词	TASSELED CAP TRANSFORMATION ; INDEX ; CLASSIFICATION ; IMAGERY
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	PUBLIC LIBRARY SCIENCE
WOS记录号	WOS:000671690700043
资助机构	Tianjin Intelligent Manufacturing Project ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd ; Xi' an Jiaotong University
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/163889]
专题	中国科学院地理科学与资源研究所
通讯作者	Ye, Huping
作者单位	1.Shaanxi Prov Land Consolidat Engn Technol Res Ctr, Xian, Peoples R China 2.Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian, Peoples R China 3.Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian, Peoples R China 4.Minist Nat Resources Ltd, Key Lab Degraded & Unused Land Consolidat Engn, Xian, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Jianfeng,Pen, Biao,Wei, Yulu,et al. Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2[J]. PLOS ONE,2021,16(6):17.
APA	Li, Jianfeng,Pen, Biao,Wei, Yulu,&Ye, Huping.(2021).Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2.PLOS ONE,16(6),17.
MLA	Li, Jianfeng,et al."Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2".PLOS ONE 16.6(2021):17.