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An automatic cloud detection model for Sentinel-2 imagery based on Google Earth Engine

文献类型：期刊论文

作者Li, Jianfeng2,3,4; Wang, Luyao1,5; Liu, Siqi1,5; Peng, Biao1,5; Ye, Huping3
刊名REMOTE SENSING LETTERS
出版日期2022-02-01
卷号13期号:2页码:196-206
ISSN号2150-704X
DOI10.1080/2150704X.2021.1988753
通讯作者Li, Jianfeng(yehp@igsnrr.ac.cn)
英文摘要Cloud coverage hinders the effective range of Earth observation by optical remote sensing satellites. Rapid and accurate cloud detection is an important step in the product generation process of remote sensing applications. Given the lack of suitable and high-quality cloud detection models in the Google Earth Engine cloud platform, this study takes tropical cloudy Sri Lanka as the study area and constructs a Sentinel-2 image cloud detection model coupled with support vector machines and Cloud-Score algorithm. Through experiments, the cloud detection accuracy of this method was compared to the QA60 method, Cloud-Score algorithm, and Function of mask (Fmask) from the point of view of visual interpretation and quantitative analysis. Compared with the other three cloud detection methods, the cloud detection model proposed in this study has the highest overall accuracy, reaching 98.21%, with an extremely low omission and commission errors. The model can accurately identify the cloud boundary and meet the cloud detection pre-processing requirements of Sentinel-2 remote sensing products.
资助项目National Key Research and Development Program of China[2019YFE0126500] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA2003030201] ; Innovation Capability Support Program of Shaanxi[2021KRM079] ; Xi'an Jiaotong University[2021WHZ0090] ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd.
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000731171800001
出版者TAYLOR & FRANCIS LTD
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Innovation Capability Support Program of Shaanxi ; Xi'an Jiaotong University ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co., Ltd.
源URL[http://ir.igsnrr.ac.cn/handle/311030/168495]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Jianfeng
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian, Peoples R China
5.Minist Nat Resources Ltd, Key Lab Degraded & Unused Land Consolidat Engn, Xian, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jianfeng,Wang, Luyao,Liu, Siqi,et al. An automatic cloud detection model for Sentinel-2 imagery based on Google Earth Engine[J]. REMOTE SENSING LETTERS,2022,13(2):196-206.
APA Li, Jianfeng,Wang, Luyao,Liu, Siqi,Peng, Biao,&Ye, Huping.(2022).An automatic cloud detection model for Sentinel-2 imagery based on Google Earth Engine.REMOTE SENSING LETTERS,13(2),196-206.
MLA Li, Jianfeng,et al."An automatic cloud detection model for Sentinel-2 imagery based on Google Earth Engine".REMOTE SENSING LETTERS 13.2(2022):196-206.

入库方式： OAI收割

来源：地理科学与资源研究所

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