干旱区生态环境知识资源中心(Arid): Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing

Arid

DOI	10.1038/s41598-021-04754-y
	Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing
	Li, Jianfeng; Wang, Jiawei; Yang, Liangyan; Ye, Huping
通讯作者	Ye, HP (corresponding author)，Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2022
卷号	12 期号:1
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.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000742753500046
WOS关键词	GOOGLE EARTH ENGINE ; SURFACE-WATER ; INDEX NDWI ; VARIABILITY ; INUNDATION ; RAINFALL
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376561
作者单位	[Li, Jianfeng] Shaanxi Prov Land Engn Construct Grp Co Ltd, Inst Land Engn & Technol, Xian 710021, Peoples R China; [Ye, Huping] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; [Li, Jianfeng] Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian 710075, Peoples R China; [Wang, Jiawei; Yang, Liangyan] Key Lab Degraded & Unused Land Consolidat Engn L, Minist Nat Resources, Xian 710021, Peoples R China; [Wang, Jiawei; Yang, Liangyan] 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],2022,12(1).
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).
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).