干旱区生态环境知识资源中心(Arid): Monitoring Spatial-Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery

Arid

DOI	10.3390/rs16050822
	Monitoring Spatial-Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery
	Zhou, Jingjing; Ke, Linghong; Ding, Xin; Wang, Ruizhe; Zeng, Fanxuan
通讯作者	Ke, LH
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2024
卷号	16 期号:5
英文摘要	Rivers in arid regions serve as crucial freshwater resources for local communities and play an essential role in global hydrological and biogeochemical cycles. The Aral Sea Basin (ASB) in Central Asia is characterized by an arid climate and river dynamics that are sensitive to climate change and human activities. Monitoring the spatiotemporal variations in river water extent in the ASB is essential to maintain an ecological balance and ensure water security. In this study, we extracted data regarding monthly river water bodies in the ASB from 2017 to 2022 by synthesizing monthly Sentinel-2 images. The water extents on the Sentinel images were automatically mapped using the Otsu method, and the river widths for all river channels were calculated using the RivWidth algorithm. We investigated the relationships between the river dynamics and the geomorphology, climatic change, human activities, and the annual and interannual variations in the river width in different reaches of the basin. The results show a seasonal variability in the river width, with most rivers reaching the largest width in the warm season and a few rivers in the middle and lower areas reaching the valley value in the warm season. Compared to their tributaries, the mainstem in the middle/lower regions showed less seasonal variability. According to interannual analysis, most of the rivers in the ASB significantly narrowed between 2017 and 2022, a phenomenon which is generally impacted by temperature and evapotranspiration variations. Comparisons show that our results provide improved information about the narrow river reaches and denser river networks compared to the previous global dataset, demonstrating the advantageous properties of high spatial resolution in Sentinel-2 imagery.
英文关键词	river dynamics seasonal variability interannual variation Google Earth Engine climatic variations
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001183010000001
WOS关键词	GLOBAL SURFACE-WATER ; CENTRAL-ASIA ; CLIMATE-CHANGE ; TIEN-SHAN ; INDEX NDWI ; AMU-DARYA ; SATELLITE ; STORAGE ; IMPACTS ; RUNOFF
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405284
推荐引用方式 GB/T 7714	Zhou, Jingjing,Ke, Linghong,Ding, Xin,et al. Monitoring Spatial-Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery[J],2024,16(5).
APA	Zhou, Jingjing,Ke, Linghong,Ding, Xin,Wang, Ruizhe,&Zeng, Fanxuan.(2024).Monitoring Spatial-Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery.REMOTE SENSING,16(5).
MLA	Zhou, Jingjing,et al."Monitoring Spatial-Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery".REMOTE SENSING 16.5(2024).