干旱区生态环境知识资源中心(Arid): Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)

Arid

DOI	10.3390/rs11111323
	Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)
	Che, Xianghong 1; Feng, Min 2,3; Sexton, Joe 3; Channan, Saurabh 3; Sun, Qing 4; Ying, Qing 5; Liu, Jiping 1; Wang, Yong 1
通讯作者	Feng, Min
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:11
英文摘要	Surface water is of great importance to ecosystems and economies. Crucial to understanding hydrological variability and its relationships to human activities at large scales, open-access satellite datasets and big-data computational methods are now enabling the global mapping of the distribution and changes of inland water over time. A machine-learning algorithm, previously used only to map water at single points in time, was applied over 16 years of the USGS Landsat archive to detect and map surface water over central Asia from 2000 to 2015 at a 30-m, monthly resolution. The resulting dataset had an overall classification accuracy of 99.59% (+/- 0.32% standard error), 98.24% (+/- 1.02%) user's accuracy, and 87.12% (+/- 3.21%) producer's accuracy for water class. This study describes the temporal extension of the algorithm and the application of the dataset to present patterns of regional surface water cover and change. The findings indicate that smaller water bodies are dramatically changing in two specific ecological zones: the Kazakh Steppe and the Tian Shan Montane Steppe and Meadows. Both the maximum and minimum extent of water bodies have decreased over the 16-year period, but the rate of decrease of the maxima was double that of the minima. Coverage decreased in each month from April to October, and a significant decrease in water area was found in April and May. These results indicate that the dataset can provide insights into the behavior of surface water across central Asia through time, and that the method can be further developed for regional and global applications.
英文关键词	surface water Landsat time series detection central Asia
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000472648000066
WOS关键词	SURFACE-WATER ; TIME-SERIES ; FLOOD DYNAMICS ; RESOLUTION ; INUNDATION ; IMAGERY ; MAP
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院青藏高原研究所 ; 南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218373
作者单位	1.Chinese Acad Surveying & Mapping, Res Ctr Govt Geog Informat Syst, Beijing 100830, Peoples R China; 2.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China; 3.TerraPulse Inc, North Potomac, MD 20878 USA; 4.Nanjing Univ Informat Sci & Technol, CIC FEMD, Nanjing 210044, Jiangsu, Peoples R China; 5.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
推荐引用方式 GB/T 7714	Che, Xianghong,Feng, Min,Sexton, Joe,et al. Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)[J]. 中国科学院青藏高原研究所, 南京信息工程大学,2019,11(11).
APA	Che, Xianghong.,Feng, Min.,Sexton, Joe.,Channan, Saurabh.,Sun, Qing.,...&Wang, Yong.(2019).Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015).REMOTE SENSING,11(11).
MLA	Che, Xianghong,et al."Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)".REMOTE SENSING 11.11(2019).