Accurate extraction of surface water in complex environment based on Google Earth Engine and Sentinel-2
文献类型:期刊论文
作者 | Li, Jianfeng2,3,4,5; Pen, Biao2,3,4,5; Wei, Yulu2,3,4,5; Ye, Huping1 |
刊名 | PLOS ONE
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出版日期 | 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. |
WOS关键词 | TASSELED CAP TRANSFORMATION ; INDEX ; CLASSIFICATION ; IMAGERY |
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研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000671690700043 |
出版者 | PUBLIC LIBRARY SCIENCE |
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 |
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian, Peoples R China 3.Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian, Peoples R China 4.Minist Nat Resources Ltd, Key Lab Degraded & Unused Land Consolidat Engn, Xian, Peoples R China 5.Shaanxi Prov Land Consolidat Engn Technol Res Ctr, Xian, 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. |
入库方式: OAI收割
来源:地理科学与资源研究所
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