Hydrological and Urban Survey Using Satellite Imagery: Case Study of Hamburg’s River Elbe

This study presents a detailed geographical survey of the course of the Elbe River that flows through Hamburg using remote sensing and satellite imagery, with the objective of analyzing the hydrological features and terrain of the region. Using multispectral satellite imagery and machine learning techniques, land cover classification and surface water extent maps are generated, which can be used for hydrological modeling and urban demography/infrastructure profiling. This work highlights the importance of remote sensing and satellite imagery in hydrological studies and water resource management. The data generated by these techniques can be used to make informed decisions on the management of water resources and the environment. In general, this study contributes to the field of surface-type classification and demonstrates the effectiveness of remote sensing and satellite imagery in the generation of high-resolution environmental surveillance data.