Methodological advances in mountain research

Mountain environments present unique challenges for researchers due to their steep environmental gradients, complex topography, variable weather conditions, distinctive vegetation, and rapid hydrological responses that often invalidate assumptions applied in other landscapes. This session will showcase methodological advances, innovations, limitations, and adaptations in GIS, remote sensing and machine learning techniques applied in this unique landscape. We welcome contributions from all fields, encouraging an interdisciplinary perspective to deepen the understanding of these challenges and potential solutions. Topics may include methodological advances in remote sensing, GIS, geostatistics, and machine learning applied to understand vegetation dynamics, snow and ice changes, hydrological applications, and more.