Satellite-derived river width and its spatiotemporal patterns in China during 1990-2015
Yang, Jie1; Huang, Xin1,2; Tang, Qiuhong3,4
刊名REMOTE SENSING OF ENVIRONMENT
2020-09-15
卷号247页码:16
关键词River width Multi-temporal Seasonal variations Spatiotemporal patterns Google Earth Engine
ISSN号0034-4257
DOI10.1016/j.rse.2020.111918
通讯作者Huang, Xin(xhuang@whu.edu.cn) ; Tang, Qiuhong(tangqh@igsnrr.ac.cn)
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 x 10(8) seasonal estimates of river width, and covers 1.4 x 10(5) 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.
资助项目National Natural Science Foundation of China[41771360] ; National Natural Science Foundation of China[41971295] ; National Natural Science Foundation of China[41790424] ; National Program for Support of Top-notch Young Professionals ; Hubei Provincial Natural Science Foundation of China[2017CFA029] ; National Key R&D Program of China[2016YFB0501403] ; Shenzhen Science and Technology Program[JCYJ20180306170645080] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402]
WOS关键词TERM ACQUISITION PLAN ; SURFACE-WATER ; FLOOD DISASTERS ; YANGTZE-RIVER ; CLOUD COVER ; DISCHARGE ; BASIN ; PRECIPITATION ; RESERVOIRS ; EMISSIONS
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000549189200027
资助机构National Natural Science Foundation of China ; National Program for Support of Top-notch Young Professionals ; Hubei Provincial Natural Science Foundation of China ; National Key R&D Program of China ; Shenzhen Science and Technology Program ; Strategic Priority Research Program of Chinese Academy of Sciences
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/158394]  
专题中国科学院地理科学与资源研究所
通讯作者Huang, Xin; Tang, Qiuhong
作者单位1.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
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Yang, Jie,Huang, Xin,Tang, Qiuhong. Satellite-derived river width and its spatiotemporal patterns in China during 1990-2015[J]. REMOTE SENSING OF ENVIRONMENT,2020,247:16.
APA Yang, Jie,Huang, Xin,&Tang, Qiuhong.(2020).Satellite-derived river width and its spatiotemporal patterns in China during 1990-2015.REMOTE SENSING OF ENVIRONMENT,247,16.
MLA Yang, Jie,et al."Satellite-derived river width and its spatiotemporal patterns in China during 1990-2015".REMOTE SENSING OF ENVIRONMENT 247(2020):16.
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