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High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China

文献类型：期刊论文

作者Li, Kewei1,2; Xu, Erqi1
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2021-09-01
卷号179页码:66-80
关键词Surface water Time series Auto-updating of training samples Temporal consistency detection Change monitoring Intra-annual information
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2021.07.009
英文摘要Surface water is experiencing significant changes due to anthropogenic activities and climate change. Recent studies have explored long-term surface water dynamics with the development of multi-source remote sensing data and mapping technology. However, cost-effective and time-saving reliable references for mapping surface water from remote sensing images at multiple times are still lacking. Further, negligence of abnormal changes in time-series surface water maps seriously affects surface water mapping accuracy. In this study, we propose a high-accuracy method for long-term mapping of surface water by automatic update of training samples and temporal consistency modification in surface water sequences. Taking the surface water in Huizhou from 1986 to 2020 as a case study, the method is applied and tested. Temporal training samples were updated through Robust Mahalanobis distances and statistical filtering. Combined with the random forest algorithm and the Google Earth Engine platform, annual surface water maps were generated. A method for temporal consistency detection in moving window and abnormal changes modification rule with intra-annual information are proposed to improve annual surface water mapping accuracy. The accuracy of surface water dynamics and abnormal water modifications were quantified as 89.8% and 95.7%, respectively. With our proposed method, the resultant maximum annual water areas of Huizhou were detected, with a statistically significant upward trend and net increase of 103.1 km(2) over 35 years. Reservoir construction and aquaculture expansion constitute the main sources of increased waters in this case study. It is demonstrated that our proposed method offers important advantages in terms of the accuracy of annual surface water maps and especially change monitoring.
WOS关键词LANDSAT TIME-SERIES ; INDEX NDWI ; CLASSIFICATION ; PERFORMANCE ; DERIVATION ; WETLANDS ; PRODUCT ; IMAGERY ; SCALE ; AREA
资助项目Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0603] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040201] ; National Natural Science Foundations of China[41601095]
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000686386900005
出版者ELSEVIER
资助机构Second Tibetan Plateau Scientific Expedition and Research Program ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundations of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/164557]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Li, Kewei,Xu, Erqi. High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2021,179:66-80.
APA Li, Kewei,&Xu, Erqi.(2021).High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,179,66-80.
MLA Li, Kewei,et al."High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 179(2021):66-80.

入库方式： OAI收割

来源：地理科学与资源研究所

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