Automatic identification of the lake area at Qinghai-Tibetan Plateau using remote sensing images

doi:10.1016/j.quaint.2018.10.023

	Automatic identification of the lake area at Qinghai-Tibetan Plateau using remote sensing images
	Liu, Zhaofei; Yao, Zhijun; Wang, Rui
刊名	QUATERNARY INTERNATIONAL
	2019-02-01
卷号	503 页码:136-145
关键词	Automatic interpretation Area error analyses Sub-pixel classification Lake area change Landsat 8 Tibetan plateau
ISSN号	1040-6182
DOI	10.1016/j.quaint.2018.10.023
通讯作者	Liu, Zhaofei(zfliu@igsnrr.ac.cn) ; Wang, Rui(wangr@igsnrr.ac.cn)
英文摘要	The lake area of the Qinghai-Tibetan Plateau (QTP) was identified using an automatic waterbody interpretation method. The spectral reflectance of water is much lower than that of other land-surface materials in remote sensing images. The method made use of this characteristic, and divided the lake area into pure water pixels and mixed pixels. In total, 4051 field-collected ground control points of the boundaries of the 17 lakes were used to calibrate and validate the method. The lake area changes from the 1980s to 2015 were also analyzed. It can deal with the mismatch between the grid image boundaries and vector real lake boundaries. Results indicate that it is necessary to consider this mismatch when identifying waterbodies based on remote sensing images, especially in the case of waterbodies with an irregular shape. The method can distinguish waterbodies from wetlands and glaciers, and the interpretation accuracy was improved. In 2015, 1177 lakes with an area larger than 1 km(2) were recorded; the total lake area of the QTP was 43873.6 km(2). In general, the QTP lakes have expanded during the past several decades. The lake area has increased by 18.3% from the 1980s to 2015. This indicates expansion in the Northern Tibetan Plateau and shrinkage in the southern region of the QTP. The changes of precipitation were the main reasons for lake area changes on the QTP. However, the increased glacier melt runoff played a dominant role in the upper regions of the Yalungzangbo and Yellow rivers. The method proposed herein can be easily applied to other studies to monitor waterbodies based on remote sensing images, especially in the case of large waterbodies.
资助项目	National Key Research and Development Program of China[2016YFC0401306] ; National Natural Science Foundation of China[41571027] ; National Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[4161101254]
WOS关键词	DIFFERENCE WATER INDEX ; SELIN CO ; NDWI ; PRECIPITATION ; TEMPERATURE ; IMPACTS ; ERRORS ; GPS
WOS研究方向	Physical Geography ; Geology
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000460632300016
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49299]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Zhaofei; Wang, Rui
作者单位	Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Liu, Zhaofei,Yao, Zhijun,Wang, Rui. Automatic identification of the lake area at Qinghai-Tibetan Plateau using remote sensing images[J]. QUATERNARY INTERNATIONAL,2019,503:136-145.
APA	Liu, Zhaofei,Yao, Zhijun,&Wang, Rui.(2019).Automatic identification of the lake area at Qinghai-Tibetan Plateau using remote sensing images.QUATERNARY INTERNATIONAL,503,136-145.
MLA	Liu, Zhaofei,et al."Automatic identification of the lake area at Qinghai-Tibetan Plateau using remote sensing images".QUATERNARY INTERNATIONAL 503(2019):136-145.