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Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing

文献类型：期刊论文

作者Li, Jianfeng2,3; Wang, Jiawei4,5; Yang, Liangyan4,5; Ye, Huping1
刊名SCIENTIFIC REPORTS
出版日期2022-01-14
卷号12期号:1页码:9
ISSN号2045-2322
DOI10.1038/s41598-021-04754-y
通讯作者Ye, Huping(yehp@igsnrr.ac.cn)
英文摘要Sri Lanka is an important hub connecting Asia-Africa-Europe maritime routes. It receives abundant but uneven spatiotemporal distribution of rainfall and has evident seasonal water shortages. Monitoring water area changes in inland lakes and reservoirs plays an important role in guiding the development and utilisation of water resources. In this study, a rapid surface water extraction model based on the Google Earth Engine remote sensing cloud computing platform was constructed. By evaluating the optimal spectral water index method, the spatiotemporal variations of reservoirs and inland lakes in Sri Lanka were analysed. The results showed that Automated Water Extraction Index (AWEI(sh)) could accurately identify the water boundary with an overall accuracy of 99.14%, which was suitable for surface water extraction in Sri Lanka. The area of the Maduru Oya Reservoir showed an overall increasing trend based on small fluctuations from 1988 to 2018, and the monthly area of the reservoir fluctuated significantly in 2017. Thus, water resource management in the dry zone should focus more on seasonal regulation and control. From 1995 to 2015, the number and area of lakes and reservoirs in Sri Lanka increased to different degrees, mainly concentrated in arid provinces including Northern, North Central, and Western Provinces. Overall, the amount of surface water resources have increased.
WOS关键词GOOGLE EARTH ENGINE ; SURFACE-WATER ; INDEX NDWI ; VARIABILITY ; INUNDATION ; RAINFALL
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA2003030201] ; National Natural Science Foundation of China[41771388] ; National Natural Science Foundation of China[41971359] ; Innovation Capability Support Program of Shaanxi[2021KRM079] ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd ; Xi' an Jiaotong University[2021WHZ0090] ; Tianjin Intelligent Manufacturing Project[Tianjin-IMP-2018-2]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000742753500046
出版者NATURE PORTFOLIO
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Innovation Capability Support Program of Shaanxi ; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co.,Ltd ; Xi' an Jiaotong University ; Tianjin Intelligent Manufacturing Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/169554]  
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 100101, Peoples R China
2.Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian 710075, Peoples R China
3.Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian 710021, Peoples R China
4.Key Lab Degraded & Unused Land Consolidat Engn L, Minist Nat Resources, Xian 710021, Peoples R China
5.Shaanxi Prov Land Consolidat Engn Technol Res Ltd, Xian 710021, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jianfeng,Wang, Jiawei,Yang, Liangyan,et al. Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing[J]. SCIENTIFIC REPORTS,2022,12(1):9.
APA Li, Jianfeng,Wang, Jiawei,Yang, Liangyan,&Ye, Huping.(2022).Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing.SCIENTIFIC REPORTS,12(1),9.
MLA Li, Jianfeng,et al."Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing".SCIENTIFIC REPORTS 12.1(2022):9.

入库方式： OAI收割

来源：地理科学与资源研究所

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