Study on the Evolution of Estuarine Sedimentary Geomorphology Based on Remote Sensing Image Technology

The dynamic geomorphology and sediment transport processes of estuaries play a crucial role in understanding the interactions between terrestrial and marine systems. This study investigates the spatial and temporal differences in sediment dynamics, including grain size characteristics, sediment transport trends, and sedimentary environments, in the Yellow River estuary. It also examines the estuarine responses to changes in incoming water and sediment under varying hydrodynamic conditions. Using high-resolution remote sensing data and advanced image analysis techniques, including the ESP tool in eCognition, we optimized image segmentation scales and quantified interannual and interdecadal geomorphic siltation changes. The LIBSVM toolbox was applied for classification, achieving efficient, and accurate results for landform feature detection. Furthermore, the study integrates sediment dynamics modeling, remote sensing technology, and geographic big data to explore estuarine water and sediment transport processes. The findings provide a scientific foundation for the sustainable management of estuarine systems and contribute to improving geomorphic evolution modeling and image classification methodologies.