气候变化领域集成服务门户(CCPortal): Estimating continental river basin discharges using multiple remote sensing data sets

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DOI	10.1016/j.rse.2016.03.019
	Estimating continental river basin discharges using multiple remote sensing data sets
	Sichangi, Arthur W.; Wang, Lei; Yang, Kun; Chen, Deliang; Wang, Zhongjing; Li, Xiuping; Zhou, Jing; Liu, Wenbin; Kuria, David
通讯作者	Wang, L (通讯作者)
发表日期	2016
ISSN	0034-4257
EISSN	1879-0704
起始页码	36
结束页码	53
卷号	179
英文摘要	Rivers act as a source of fresh water for terrestrial life, yet the discharges are poorly documented since the existing direct observations are inadequate and some observation stations have been interrupted or discontinued. Discharge estimates using remote sensing thus have a great potential to supplement ground observations. There are remote sensing methods established to estimate discharge based on single parameter derived relationships; however, they are limited to specific sections due to their empirical nature. In this study, we propose an innovative method to estimate daily discharges for continental rivers (with river channel widths >800 m (Birkett and Beckley, 2010)) using two satellite derived parameters. Multiple satellite altimetry data and Moderate Resolution Imaging Spectroradiometer (MODIS) data are used to provide a time series of river stages and effective river width. The derived MODIS and altimetry data are then used to optimize unknown parameters in a modified Manning's equation. In situ measurements are used to derive rating curves and to provide assessments of the estimated results. The Nash-Sutcliffe efficiency values for the estimates are between 0.60 and 0.97, indicating the power of the method and accuracy of the estimations. A comparison with a previously developed empirical multivariate equation for estimating river discharge shows that our method produces superior results, especially for large rivers. Furthermore, we found that discharge estimates using both effective river width and stage information consistently outperform those that only use stage data. (C) 2016 The Authors. Published by Elsevier Inc.
关键词	SATELLITE RADAR ALTIMETRY DIGITAL ELEVATION MODEL FRESH-WATER DISCHARGE RATING CURVES LOW-GRADIENT DATA-SPARSE CALIBRATION UNCERTAINTY IMAGERY PERFORMANCE
英文关键词	Altimetry; Discharge; Remote sensing
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000375506100004
来源期刊	REMOTE SENSING OF ENVIRONMENT
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258815
推荐引用方式 GB/T 7714	Sichangi, Arthur W.,Wang, Lei,Yang, Kun,et al. Estimating continental river basin discharges using multiple remote sensing data sets[J]. 中国科学院青藏高原研究所,2016,179.
APA	Sichangi, Arthur W..,Wang, Lei.,Yang, Kun.,Chen, Deliang.,Wang, Zhongjing.,...&Kuria, David.(2016).Estimating continental river basin discharges using multiple remote sensing data sets.REMOTE SENSING OF ENVIRONMENT,179.
MLA	Sichangi, Arthur W.,et al."Estimating continental river basin discharges using multiple remote sensing data sets".REMOTE SENSING OF ENVIRONMENT 179(2016).