Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River
文献类型:期刊论文
作者 | Sichangi, AW (Sichangi, Arthur W.)1,2,5; Wang, L (Wang, Lei)1,3,5; Hu, ZD (Hu, Zhidan)4 |
刊名 | REMOTE SENSING
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出版日期 | 2018-09-01 |
卷号 | 10期号:9页码:文献号: 1385 |
关键词 | Stations Hydraulic Geometry Satellite-observations Ungauged Basins Rating Curves Altimetry Data Model Calibration Imagery Width Variability |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs10091385 |
英文摘要 | 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. |
学科主题 | 地理学 |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000449993800065 |
出版者 | MDPI |
源URL | [http://ir.itpcas.ac.cn/handle/131C11/8549] ![]() |
专题 | 青藏高原研究所_图书馆 |
通讯作者 | Wang, L (Wang, Lei) |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100101, Peoples R China; 2.Dedan Kimathi Univ Technol, Inst Geomat GIS & Remote Sensing, Nyeri 10100, Kenya; 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; 4.Minist Water Resources, Informat Ctr, Beijing 100053, Peoples R China. 5.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China; |
推荐引用方式 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. |
入库方式: OAI收割
来源:青藏高原研究所
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