Water Level Monitoring in the Karnali River, Nepal

Evaluating Satellite SAR Altimetry Techniques through Field Observations

Master Thesis (2023)
Author(s)

M.K. de Jong (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

T.A. Bogaard – Mentor (TU Delft - Water Resources)

D.C. Slobbe – Mentor (TU Delft - Physical and Space Geodesy)

A. Blom – Mentor (TU Delft - Rivers, Ports, Waterways and Dredging Engineering)

Faculty
Civil Engineering & Geosciences
Copyright
© 2023 Mo de Jong
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Mo de Jong
Graduation Date
13-09-2023
Awarding Institution
Delft University of Technology
Project
['Save the Tigers, Save the Grasslands, Save the Water!']
Programme
['Water Management']
Related content

Official web page of overarching project

https://savethetiger.nl
Faculty
Civil Engineering & Geosciences
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Abstract

Rivers play a crucial role in shaping landscapes and supporting ecosystems. This is demonstrated by the tiger habitats in and around Bardia National Park in West-Nepal, which rely on the Karnali River. This study contributes to a larger effort aimed at sustainably managing these tiger habitats. Monitoring the rivers in this remote area is challenging, suggesting a role for remote sensing. An exploration is presented regarding the potential of satellite synthetic aperture radar altimetry (sat-SARA) for monitoring rivers situated in diverse topographic landscapes. Focusing on the Bheri, Karnali, and Geruwa Rivers, the applicability of sat-SARA techniques for water level monitoring, multiple channel identification, and channel activation detection was evaluated. For deriving water surface heights from sat-SARA data, an empirical Gaussian retracker was used. The findings are promising. While resulting water level variations align with field observations, complementary in-situ measurements are imperative for a comprehensive evaluation. Additionally, the study reveals the potential for identifying multiple channels from sat-SARA return signals, extending to channel classification and detecting channel activation. Leveraging the labour-intensive nature of sat-SARA data processing, the technique holds great promise for monitoring rivers in remote and difficult-to-access landscapes. Therewith, this study contributes to advancing the understanding of the hydrodynamics of the Lower Karnali River and opens doors for sat-SARA applications for river monitoring in challenging terrains.

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