Kechnit, D., Tshimanga, R.M., Ammari, A. et al. (1 more author) (2024) Assessing uncertainties of a remote sensing-based discharge reflectance model for applications to large rivers of the Congo Basin. Hydrological Sciences Journal, 69 (11). pp. 1436-1448. ISSN 0262-6667
Abstract
Adequate monitoring of river discharge is crucial for effective water resource management. However, this objective remains difficult to achieve in the context of large and ungauged river basins. This study assesses the performance of remote sensing applications for discharge monitoring in the lower reach of the Congo River, where daily discharge information is required to support many water resource operations. The approach is based on the use of Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing imagery to produce a daily time series of a ratio of reflectance values (C/M) for discharge monitoring. The validation of the approach is performed based on three-year water level data collected at the outlet gauging site and limited in situ Acoustic Doppler Current Profiler (ADCP) cross-section measurements for high and low flow seasons. The simulated discharge closely matches the observed values and falls within acceptable ranges, with errors below 10% and Nash-Sutcliffe coefficients ranging from 0.65 to 0.76 for ADCP and gauging station, respectively.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | discharge; large rivers; remote sensing; Congo River; in situ |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Sep 2024 14:27 |
Last Modified: | 09 Sep 2024 14:27 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/02626667.2024.2378486 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216866 |