Study of the Venosta Valley (South Tyrol) glaciers to reconstruct their recent evolution and to create an inventory of the paraglacial events on these glaciers.
Unveiling Soil Carbon Sequestration Potential Across Diverse Land Uses in the Eastern Himalayan Region: An InVEST-Based Approach
This study models about soil carbon sequestration reveals bamboo plantations as the highest contributors, offering crucial insights for climate mitigation and sustainable land-use planning.
Upper forestline dynamics in the Italian Alps and Apennines revealed by Landsat time-series
We detected the most representaitive forestlines in the Italian Alps and Apennines and applied greenness and wetness trend analysis by Landsat time series (period: 1984-2023).
Evaluating IoT-Based Monitoring System in Alpine Environments: A Practical Assessment
This study assesses an IoT deployment guideline for alpine monitoring, testing its usability with various user groups to improve data collection and system resilience in extreme conditions.
Treeline dynamics and seedling survival in the Italian Alps: Insights from the OLYMPUS Project
This study investigates forest regeneration dynamics at the treeline in the Italian Alps, focusing on environmental manipulation at Genevris Mt. and Croda da Lago, and integrating LiDAR data for micro
Evaluating Phenological trends of difference vegetation types in response to climate change over the Eastern Himalayan in India
The study explores the vegetation phenological trends in the Eastern Himalayas of India from 2000 to 2024, using the MODIS-based Enhanced Vegetation Index (EVI) dataset.
Integrating field surveys and drone-based remote sensing to monitor mediterranean mountain treeline patterns
This study integrates field and drone-based data to monitor treeline dynamics, focusing on recolonization processes and key drivers affecting spatial patterns at high-elevation mediterranean mountains
Seasonal variability of glacier algae at the Morteratsch Glacier (Swiss Alps)
The positive ice-albedo feedback is known to affect the glacier melting. Here we analysed the effect of glacier algae over an Alpine glacier, through remote and field observations and modelling.
Multi-source Data Fusion and Machine Learning Classification for Seasonal Land Cover Mapping in a Mountainous Catchment.
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.
Reconstruction of Consecutive GLOFs from Small Proglacial Lake with Possible Downstream Impacts in Central Himalaya
This study uses remote sensing data and hydrodynamic modelling to investigate the mechanism and impacts of consecutive GLOFs from a small proglacial lake in Central Himalaya.