气候变化领域集成服务门户(CCPortal): Satellite-derived river width and its spatiotemporal patterns in China during 1990

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DOI	10.1016/j.rse.2020.111918
	Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015
	Yang J.; Huang X.; Tang Q.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Rivers are essential to the Earth's ecosystem, but the current understanding of river width variability is limited, owing to the sparse distribution of gauging stations. Remote sensing data enable the surveying and analysis of river geomorphology by providing multi-temporal Earth observation data from satellites at fine spatial and temporal resolutions. We proposed an optimized RivWidth method to automatically calculate width for all channels in a water map and parallelized it to produce the Multi-temporal China River Width (MCRW) dataset, which is the first 30-m multi-temporal river width dataset for China during 1990–2015, including estimates under both seasonal fluctuations and dynamic inundation frequencies. The MCRW dataset is made up of 1.3 × 108 seasonal estimates of river width, and covers 1.4 × 105 km of rivers in China. We validated the MCRW dataset against in-situ measurements. The MCRW estimates at maximum water extent showed a satisfactory accuracy of 15.0% and 15.2% for the mean absolute percentage error (MAPE) and the relative root-mean-square error (RRMSE), respectively. The MCRW dataset was further compared with the current state-of-the-art global product, the Global River Widths from Landsat (GRWL) dataset, which demonstrated the superiority of the MCRW in describing the basins of China. Our analysis indicated that the mean river widths of China in both summer and winter have increased over the past 25 years, and river width of the Yangtze River mainstream in the lower drainage region has shown a downward trend while the its middle reaches and tributaries (upstream of the Three Gorges Dam) have shown an upward trend. We also developed a locally adaptive search method to quantify seasonal (summer and winter) river width variability. The results revealed that most of the rivers were wider in summer during the study period, and mainstream of Yangtze River in middle/lower region exhibited less seasonal variability than its tributaries. Larger widths were observed in the middle reaches of the Yellow River and the upper reaches of the Black River in winter due to ice-jam floods. Overall, the generated MCRW dataset has the potential to serve as a fundamental resource in Earth system science, and could provide valuable support to surface water resource and riverine management. © 2020 Elsevier Inc.
英文关键词	Google Earth Engine; Multi-temporal; River width; Seasonal variations; Spatiotemporal patterns
语种	英语
scopus关键词	Floods; Mean square error; Remote sensing; Adaptive search method; Earth observation data; Earth system science; Mean absolute percentage error; Root mean square errors; Seasonal fluctuations; Spatial and temporal resolutions; Spatiotemporal patterns; Rivers; accuracy assessment; data set; flood; geomorphology; in situ measurement; Landsat; satellite data; spatiotemporal analysis; water management; water resource; China; Hubei; Three Gorges Dam; Yangtze River; Yellow River
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179254
作者单位	School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式 GB/T 7714	Yang J.,Huang X.,Tang Q.. Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015[J],2020,247.
APA	Yang J.,Huang X.,&Tang Q..(2020).Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015.Remote Sensing of Environment,247.
MLA	Yang J.,et al."Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015".Remote Sensing of Environment 247(2020).