Estimation of Reservoir Capacity and Sediment Deposition Using Remote Sensing Data

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Abstract

In this study the reservoir capacity and sediment deposition was estimated using remote sensing data. The satellite images was synchronized with water level and storage capacity to find out the change in sediment deposition due to soil erosion and transport by stream flow. The water bodies spread area was estimated using vegetation indices, e.g., normalize differences vegetation index (NDVI) and normalize differences water index (NDWI). The 3D reservoir bathymetry was modeled by integrated water level, storage capacity, and area. From the models of different time span, the change in reservoir storage capacity was estimated. Another reservoir with known water level, storage capacity, area, and sediment deposition was used to validate the estimation technique. The t-test was used to assess the results between observed and estimated reservoir capacity and sediment deposition.

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Balasmeh, O. I. A., Karmaker, T., & Babbar, R. (2020). Estimation of Reservoir Capacity and Sediment Deposition Using Remote Sensing Data. In World Environmental and Water Resources Congress 2020: Water Resources Planning and Management and Irrigation and Drainage - Selected Papers from the Proceedings of the World Environmental and Water Resources Congress 2020 (pp. 154–161). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784482957.016

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