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Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River
Sichangi, AW (Sichangi, Arthur W.)1,2,3; Wang, L (Wang, Lei)1,2,4; Hu, ZD (Hu, Zhidan)5
Source PublicationREMOTE SENSING
2018-09-01
Volume10Issue:9Pages:文献号: 1385
DOI10.3390/rs10091385
Abstract

A novel approach has been developed to estimating river discharge solely using satellite-derived parameters. The temporal river width observations from Moderate Resolution Imaging Spectroradiometer (MODIS), made at two stream segments a distance apart, are plotted to identify the time lag. The river velocity estimate is then computed using the time lag and distance between the width measurement locations, producing a resultant velocity of 0.96 m/s. The estimated velocity is comparable to that computed from in situ gauge-observed data. An empirical relationship is then utilized to estimate river depth. In addition, the channel condition values published in tables are used to estimate the roughness coefficient. The channel slope is derived from the digital elevation model averaged over a river section approximately 516 km long. Finally, the temporal depth changes is captured by adjusting the estimated depth to the Envisat satellite altimetry-derived water level changes, and river width changes from Landsat ETM+. The newly developed procedure was applied to two river sites for validation. In both cases, the river discharges were estimated with reasonable accuracy (with Nash-Sutcliffe values >0.50). The performance evaluation of discharge estimation using satellite-derived parameters was also analyzed. Since the methodology for estimating discharge is solely dependent on global satellite datasets, it represents a promising technique for use on rivers worldwide.

Subject Area地理学
WOS IDWOS:000449993800065
Language英语
Indexed BySCIE
KeywordStations Hydraulic Geometry Satellite-observations Ungauged Basins Rating Curves Altimetry Data Model Calibration Imagery Width Variability
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
Cooperation Status国际
ISSN2072-4292
Department环境变化与地表过程重点实验室
PublisherMDPI
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8549
Collection图书馆
Corresponding AuthorWang, L (Wang, Lei)
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100101, Peoples R China;
3.Dedan Kimathi Univ Technol, Inst Geomat GIS & Remote Sensing, Nyeri 10100, Kenya;
4.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;
5.Minist Water Resources, Informat Ctr, Beijing 100053, Peoples R China.
Recommended Citation
GB/T 7714
Sichangi, AW ,Wang, L ,Hu, ZD . Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River[J]. REMOTE SENSING,2018,10(9):文献号: 1385.
APA Sichangi, AW ,Wang, L ,&Hu, ZD .(2018).Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River.REMOTE SENSING,10(9),文献号: 1385.
MLA Sichangi, AW ,et al."Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River".REMOTE SENSING 10.9(2018):文献号: 1385.
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