干旱区生态环境知识资源中心(Arid): Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images

Arid

	Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images
	Liu Huichan; He Guojin; Peng Yan; Wang Guizhou; Yin Ranyu
来源期刊	Journal of Mountain Science
ISSN	1672-6316
出版年	2021
卷号	18 期号:11 页码:2833-2841
英文摘要	The Tibetan Plateau is known as the Asian water tower, and changes in its surface water distribution are important indicators of global climate change and the regional response to these changes. Dynamic monitoring of the surface water on the Tibetan Plateau is an important part of the research on the functions of the third pole of the earth and the Asian water tower. With the support of the Google Earth Engine cloud platform, this study used a spectral index-based fast extraction method to obtain surface water data from multi-temporal Landsat (Landsat 4, 5, and 8) satellite remote sensing images. Based on the extracted surface water data, we analyzed the spatiotemporal variations in the surface water of the Tibetan Plateau from 1980s to 2019. In this study, surface water area refers to the maximum coverage area of the surface water extracted from remote sensing images for one year, hereafter referred to as the surface water area. The results show that since 1980s, the overall surface water area of the Tibetan Plateau has increased, but not in a linear fashion. After a slight decrease from 1980s to 1995, the surface water area of the Tibetan Plateau increased steadily, except for a slight decrease in 2015, which may have been caused by the El Nino phenomenon. In terms of spatiotemporal distribution, different patterns exist in the various ecological regions of the Tibetan Plateau. The Inner ecological region had the greatest changes of surface water area among the ten ecological regions, accounting for 71.0% of the total surface water area increase from 1980s to 2019. The surface water bodies in the cold desert and the dry-winter subtropical climatic regions underwent the most changes, with their coefficients of variation being more than 20%. This study can provide data support for dynamic monitoring of surface water in the Tibetan Plateau.
英文关键词	Surface water Tibetan Plateau Remote sensing Landsat Climate change
类型	Article
语种	英语
收录类别	CSCD
WOS类目	Geology
CSCD记录号	CSCD:7085879
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377456
作者单位	Liu Huichan, Aerospace Information Research Institute, Chinese Academy of Sciences;;Sanya Institute of Remote Sensing, ;;Hainan Key Laboratory for Earth Observation, ;;Sanya, Beijing;; 100094;;572029.; He Guojin, Aerospace Information Research Institute, Chinese Academy of Sciences;;Sanya Institute of Remote Sensing, ;;Hainan Key Laboratory for Earth Observation, ;;Sanya, Beijing;; 100094;;572029.; Wang Guizhou, Aerospace Information Research Institute, Chinese Academy of Sciences;;Sanya Institute of Remote Sensing, ;;Hainan Key Laboratory for Earth Observation, ;;Sanya, Beijing;; 100094;;572029.; Peng Yan, Aerospace Information Research Institute, Chinese Academy of Sciences;;Sanya Institute of Remote Sensing;;University of Chinese Academy of Sciences, ;;Hainan Key Laboratory for Earth Observation;;, ;;Sanya;;, Beijing;;;;Beijing 100094;;572029;;100049.; Yin Ranyu, Aerospace Information Research Institute, Chinese Academy of Sciences;;University of Chinese Academy of Sciences, ;;, ;;, Beijing;;Beijing 10...
推荐引用方式 GB/T 7714	Liu Huichan,He Guojin,Peng Yan,et al. Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images[J],2021,18(11):2833-2841.
APA	Liu Huichan,He Guojin,Peng Yan,Wang Guizhou,&Yin Ranyu.(2021).Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images.Journal of Mountain Science,18(11),2833-2841.
MLA	Liu Huichan,et al."Dynamic monitoring of surface water in the Tibetan Plateau from 1980s to 2019 based on satellite remote sensing images".Journal of Mountain Science 18.11(2021):2833-2841.