River Sandbank

River sandbanks are significant geological features impacting river dynamics, water quality, and human activities like sand mining. Current research focuses on developing automated methods for sandbank detection and monitoring using multispectral imagery analysis and machine learning algorithms, including deep learning models like convolutional neural networks and random forests, to improve accuracy and efficiency. These advancements are crucial for optimizing sand mining practices, enhancing environmental monitoring of river health, and improving the management of water resources, particularly in the context of climate change and increasing extreme weather events. The development of robust and accurate detection methods is vital for informed decision-making in resource management and environmental protection.