Assessment of Floodplain Sediment Deposition Using Synthetic Aperture Radar-Based Surface Deformation Analysis

An effective understanding of sediment deposition and erosion in river basins, particularly floodplains, is critical for modeling geomorphic evolution, managing flood risks, and maintaining ecological integrity. However, most related studies have been limited to hydraulic or hydrodynamic modeling approaches. Therefore, this study integrated Sentinel-1 differential interferometric synthetic aperture radar (DInSAR) coherence, Sentinel-2 normalized difference vegetation index, and soil surface moisture index data with one-dimensional hydraulic modeling to assess flood-induced sediment deposition and erosion in the Gamcheon River basin under non-flood, short flood, and long flood scenarios. The DInSAR deformation analysis revealed a clear pattern of upstream erosion and downstream deposition during flood events, indicating a total depositional uplift of 0.33 m during the long flood scenario but dominant erosion with a total measured surface lowering of −2.03 m during the non-flood scenario. These results were highly consistent with the predictions from the hydraulic model and supported by the hysteresis curves for in situ suspended sediment concentration. The findings of this study demonstrate the effectiveness of the proposed integrated approach for quantifying floodplain sediment dynamics, offering particular application value in data-scarce or inaccessible floodplains. Furthermore, the proposed approach provides practical insights into sediment management, flood risk assessment, and ecosystem restoration efforts.

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Publication Details

Journal
Water
Published
2025-10-31
DOI
https://doi.org/10.3390/w17213137
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
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article

Assessment of Floodplain Sediment Deposition Using Synthetic Aperture Radar-Based Surface Deformation Analysis

Seongyun Kim, Eun-Kyung Jang, Woochul Kang, John Eugene Fernandez
Water
Hydrology and Sediment Transport Processes
article

Assessment of Floodplain Sediment Deposition Using Synthetic Aperture Radar-Based Surface Deformation Analysis

Seongyun Kim, Eun-Kyung Jang, Woochul Kang, John Eugene Fernandez
article en

Abstract

An effective understanding of sediment deposition and erosion in river basins, particularly floodplains, is critical for modeling geomorphic evolution, managing flood risks, and maintaining ecological integrity. However, most related studies have been limited to hydraulic or hydrodynamic modeling approaches. Therefore, this study integrated Sentinel-1 differential interferometric synthetic aperture radar (DInSAR) coherence, Sentinel-2 normalized difference vegetation index, and soil surface moisture index data with one-dimensional hydraulic modeling to assess flood-induced sediment deposition and erosion in the Gamcheon River basin under non-flood, short flood, and long flood scenarios. The DInSAR deformation analysis revealed a clear pattern of upstream erosion and downstream deposition during flood events, indicating a total depositional uplift of 0.33 m during the long flood scenario but dominant erosion with a total measured surface lowering of −2.03 m during the non-flood scenario. These results were highly consistent with the predictions from the hydraulic model and supported by the hysteresis curves for in situ suspended sediment concentration. The findings of this study demonstrate the effectiveness of the proposed integrated approach for quantifying floodplain sediment dynamics, offering particular application value in data-scarce or inaccessible floodplains. Furthermore, the proposed approach provides practical insights into sediment management, flood risk assessment, and ecosystem restoration efforts.

WaterVol. 17(21)
Chonnam National University (KR), Kongju National University (KR), Korea Institute of Civil Engineering and Building Technology (KR)
Openalex Percentile: Top 69%
Hydrology and Sediment Transport Processes
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Assessment of Floodplain Sediment Deposition Using Synthetic Aperture Radar-Based Surface Deformation Analysis — Seongyun Kim, Eun-Kyung Jang, et al. · Water (2025) | TGRS Research Map | TGRS