气候变化领域集成服务门户(CCPortal): Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)

CCPortal

DOI	10.3390/rs11111323
	Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015)
	Che, Xianghong; Feng, Min; Sexton, Joe; Channan, Saurabh; Sun, Qing; Ying, Qing; Liu, Jiping; Wang, Yong
通讯作者	Feng, M (通讯作者)
发表日期	2019
EISSN	2072-4292
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.
关键词	SURFACE-WATER TIME-SERIES FLOOD DYNAMICS RESOLUTION INUNDATION IMAGERY MAP
英文关键词	surface water; Landsat; time series detection; central Asia
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000472648000066
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259589
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,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).