This study leverages multi-source data, remote sensing, and machine learning on Google Earth Engine to enhance LULC classification efficiency in South African montane grasslands, with high accuracy.
How to catch a mountain ghost? A comparison of two camera-trap monitoring methods for elusive small mustelids in the Italian Alps
The Alpine Mostela, an enclosed camera trap for small mustelids, outperforms trail cameras in monitoring elusive stoats in the Italian Alps, emerging as the preferred method for long-term monitoring
Mapping Socioeconomic Variables in Mountain Areas: A GIS-Based Approach
Mapping Socioeconomic Variables in Mountain Areas: A GIS-Based Approach
Land-use change in the European Alps: a century of post-abandonment forest dynamics
The GeoLUCA geodatabase, with 50,000 km2 of land cover maps (6 European countries) from 1850 to 2022, efficiently showed the nonlinearity of past land-use/cover change across the Alps
Mapping governance for Alpine biodiversity: enhancing coordination and cooperation through a novel visual tool
A novel Alpine biodiversity governance map that visualises multi-level governance structures and relationships, fostering transparency and strengthening cooperation for biodiversity protection.
Utilization of Different Sources for Drinking Water Scarcity Situation in the South-eastern Mountainous Region of Bangladesh
Drinking water sources in the south-eastern hilly areas of Bangladesh
Recovery dynamics and management effectiveness of invasive species across life forms, elevational gradients and regions in mountain systems
The effectiveness of removal depends on elevation, highlighting the need for targeted management.
What can we detect using SB-InSAR data? – The slow degradation of Tyrolean mountains.
With respect to two case studies, the advantages and limitations of an additional application of SB-InSAR data to existing monitoring methods, are discussed.
Climate change threatens the stoat through camouflage and prey-predator mismatch in the Italian Alps
Reduced snow cover days and a mismatch with its preferred prey may result in a 36% range contraction for the stoat in Italy, potentially elevating its conservation status to ‘Vulnerable’
Snow cover variability and trends over Karakoram, Western Himalaya and Kunlun Mountains: Insights from MODIS (2001–2024) and Reanalysis Data
Snow cover trends were analyzed using MODIS data across Karakoram, Western Himalayas, Kunlun Mountains and part of Tibetan Plateau. Long-term trends were assessed using ERA5-Land.