| Estimating continental river basin discharges using multiple remote sensing data sets | |
| Sichangi, AW (Sichangi, Arthur W.)1,3; Wang, L (Wang, Lei)1,2; Yang, K (Yang, Kun)1,2; Chen, DL (Chen, Deliang)4; Wang, ZJ (Wang, Zhongjing)5,6; Li, XP (Li, Xiuping)1; Zhou, J (Zhou, Jing)1; Liu, WB (Liu, Wenbin)1; Kuria, D (Kuria, David)7; Wang, L | |
| Source Publication | REMOTE SENSING OF ENVIRONMENT
 |
| 2016 | |
| Volume | 179Issue:0Pages:36-53 |
| DOI | 10.1016/j.rse.2016.03.019 |
| Abstract | 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. |
| Subject Area | 自然地理学 |
| WOS ID | WOS:000375506100004 |
| Language | 英语 |
| Indexed By | SCI |
| Keyword | Stations Hydraulic Geometry Satellite Radar Altimetry Digital Elevation Model Fresh-water Discharge Rating Curves Low-gradient Data-sparse Calibration Uncertainty Performance |
| Cooperation Status | 国际 |
| Department | 环境 |
| Subtype | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.itpcas.ac.cn/handle/131C11/7675 |
| Collection | 图书馆 |
| Corresponding Author | Wang, L |
| Affiliation | 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China 2.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden 5.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China 6.Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China 7.Dedan Kimathi Univ Technol, Nyeri, Kenya |
| Recommended Citation GB/T 7714 | Sichangi, AW ,Wang, L ,Yang, K ,et al. Estimating continental river basin discharges using multiple remote sensing data sets[J]. REMOTE SENSING OF ENVIRONMENT,2016,179(0):36-53. |
| APA | Sichangi, AW .,Wang, L .,Yang, K .,Chen, DL .,Wang, ZJ .,...&Wang, L.(2016).Estimating continental river basin discharges using multiple remote sensing data sets.REMOTE SENSING OF ENVIRONMENT,179(0),36-53. |
| MLA | Sichangi, AW ,et al."Estimating continental river basin discharges using multiple remote sensing data sets".REMOTE SENSING OF ENVIRONMENT 179.0(2016):36-53. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| V.179 36-53 2016.pdf（5413KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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