Monitoring a flooded open-cast mine with combining remote sensing techniques

Abstract. Monitoring environmental components at the land-water interface is very important for understanding as well as assessing dynamic hydrological and geomorphological processes. Such components include open-cast mines undergoing water reclamation. Three-dimensional modeling of these changing landscapes is essential to understand the dynamics of the water surface and to guide the safe reclamation process. Existing approaches often do not effectively integrate data from different platforms and sensors. This study presents a combined remote sensing technique that utilizes imagery and LiDAR-based data from UAVs, airborne, and satellite platforms to support the mapping of flooded mine. The proposed workflow involves data fusion, multi-temporal analysis, and 3D reconstruction to detect morphological changes, monitor hydrodynamic behaviour, and predict future flood scenarios. The results show that the combination of data from active and passive sensors significantly improves spatial and temporal resolution, enabling accurate and detailed modeling.