Conveners:
Paola Molin (Università Roma Tre)
Tommaso Piacentini (Università di Chieti)
Andrea Sembroni (ISPRA)
Ettore Valente (Università di Napoli)
Since the 1960s, the quantitative characterization of landscape gained more importance in geoscience. Initially focused on empirical topographic parameters, this research field got a strong boost from the availability of DEMs, satellite imagery, and the development of GIS-based and AI/machine learning tools. Indeed, the modelling of short/long-term topographic changes provides the basis to investigate landscape evolution from local to regional scale and to forecast landscape response to climate change. The acquisition of very high-resolution topographic/bathymetric data by innovative technologies (LIDAR and UAV/photogrammetry) and the multitemporal analysis of these DEMs are providing the opportunity to evaluate the rate of surface processes and to monitor the hazardous ones. This session aims to foster an interdisciplinary discussion on concepts, methods and applications of landscape analysis from mountains to deep sea. Contributions are invited on: - Development and application of metrics, models, Earth observation techniques and high-resolution DEMs for analysing subaerial and submarine processes, including links with tectonic, climatic, biotic and anthropogenic forcings. - Integration of field data, remote sensing, monitoring networks and numerical modelling to quantify process rates, thresholds and feedbacks within evolving landscapes. The session targets scientists working across disciplines to advance landscape analysis, with implications for risks, resources and environmental management.