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 |
DOI | 10.1016/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 |
推荐引用方式 GB/T 7714 | 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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