APPLYING REMOTE SENSING IMAGE INTERPRETATION TO ANALYZE RIVERBANK CHANGES: A CASE STUDY IN THE MEKONG DELTA
DOI:
https://doi.org/10.18623/rvd.v23.5894Keywords:
Remote Sensing, Riverbank Erosion, Digital Shoreline Analysis System (DSAS), Shoreline Change Detection, Mekong DeltaAbstract
In recent decades, riverbank erosion has intensified in the Mekong Delta, Vietnam, particularly in downstream sections of the Mekong River system, causing significant riverbank morphological changes and threatening infrastructure, ecosystems, and local communities. Monitoring riverbank dynamics is therefore essential for understanding erosion trends and supporting effective management strategies. This study analyzes riverbank changes along eight river segments in An Giang Province using multi-temporal Landsat and Sentinel-2 satellite imagery at nine time points (1992–2024). Shoreline dynamics were quantified using the Digital Shoreline Analysis System (DSAS) based on the Linear Regression Rate (LRR) and Shoreline Change Envelope (SCE) indices. The results show that erosion dominates most river sections. Erosion accounts for 100% of shoreline change at VT1, VT4, VT7, and VT8; 97.1% at VT2; 99.19% at VT5; and 86.25% at VT6, while limited accretion occurs mainly at VT2, VT3, VT5, and VT6. VT3 records the highest accretion proportion (25.1%), although erosion remains the prevailing trend. SCE results reveal strong spatial variability in shoreline mobility, with the largest changes occurring at VT7 and VT8, where shoreline displacement exceeds 100 m and reaches up to 200 m at VT8. In contrast, VT1, VT2, and VT5 show relatively minor changes (<30 m), indicating greater geomorphological stability. These findings demonstrate the effectiveness of integrating multi-temporal remote sensing data with DSAS for detecting erosion hotspots and supporting riverbank management and early warning systems in the Mekong Delta.
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