Author(s): Gordon Gilja; Manousos Valyrakis; Antonija Harasti; Igor Tosic
Linked Author(s): Gordon Gilja, Manousos Valyrakis
Keywords: Remote sensing retention basin spatial analysis
Abstract: Flood hazard mapping is a critical tool for disaster risk management and urban planning, yet the accuracy of such maps varies depending on the data source and methodology used. This study evaluates the differences between flood water depth maps generated using two remote sensing datasets of digital elevation models: Copernicus DEM and detailed LIDAR DEM calibrated with RTK-GPS surveys. Using GIS software, a comparative spatial analysis was conducted to assess the spatial accuracy, topographic resolution, and predictive reliability of each mapping method. Metrics such as elevation difference analysis, spatial autocorrelation, and inundated area overlap. The results highlight how variations in data resolution and accuracy influence the delineation of flood-prone areas, with implications for risk assessment and mitigation strategies. The findings underscore the importance of selecting appropriate data sources for specific flood modelling applications and demonstrate the capabilities of GIS in integrating and analysing diverse spatial datasets for hazard mapping.
Year: 2025