Speaker
Description
We explore the role of integrated geomorphological analysis and spatial data within GIS environments for a comprehensive interpretation of landscape dynamics. By combining traditional geomorphological methods with advanced geospatial technologies, it is possible to move beyond descriptive approaches and develop multi-layered, data-driven readings of territorial systems.
The presentation highlights how different datasets - such as digital elevation models (DEMs), remote sensing, historical cartography, geological maps, geomorphological maps and subsurface data - can be harmonized within a GIS framework to support the identification and analysis of landforms, surface processes, and landscape evolution. Particular attention is given to methodological workflows that enable the integration of qualitative field observations with quantitative spatial analysis.
Through selected case studies, this contribution demonstrates how GIS-based approaches facilitate the detection of geomorphological features, the assessment of landscape changes over time, and the evaluation of natural and anthropogenic processes shaping the landscape. These integrated analyses also provide valuable insights for risk assessment, land planning, and environmental management.