Our objective was to capture, hourly LiDAR data on snow height. However, the results revealed diurnal pattern in snow surface elevation, with nighttime decreases and daytime increases.
Modelling the relationship between MODIS land surface temperature and in situ air temperature on Mount Kilimanjaro: exploring temperature variability and trends across environmental factors
This study models air temperature from MODIS land surface temperature on Mount Kilimanjaro. We assess the differences between them and how these differences vary with elevation, topography, snow, vege
Safer Route Planning on Alpine Glaciers: A New Crevasse Dataset
We present a new crevasse dataset for Alpine glaciers, allowing safer route planning for mountaineers and field researchers.
Recovery of the forest’s protective effect after stand-replacing wind disturbances
A large-scale analysis of windthrow areas in protective forests reveals new insights on the recovery of their protective effect up to 30 years after stand-replacing wind disturbances.
Advancing satellite photogrammetric mapping of snow depth in high alpine terrain: a comparative study between Pléiades PHR and Neo
This study compares Pléiades PHR and Neo for snow depth mapping, showing Neo’s improved resolution and validating an automated cross-matching approach for precise, repeatable mapping in alpine terrain
Inferring precipitation information from multi-year aerial snow depth observations to improve input quality to a snow energy balance model
This work evaluates using snow distribution maps to inform precipitation input of a spatially distributed snow energy balance model to improve simulated snow depth across snow seasons.
Introducing Sentinel-1 SAR wet snow maps for glaciohydrological model calibration in the Himalaya-Karakoram
Present study demonstrates the use of Sentinel-1 SAR wet snow maps for calibrating the glaciohydrological model parameters for improving runoff estimates in data-scarce glacierized catchments.
Treeline Dynamics and Its Impact on Carbon Storage
Minimal treeline shift, decreasing carbon with elevation, and forest restoration as the most effective measure for carbon enhancement emerged as the key findings of the study.
Strongly Heterogeneous Surface-Water Warming Trends in High Mountain Asia
Surface water is rapidly warming across High Mountain Asia
Forest stand characteristics and salvage logging strategies affect the dynamics of post-windthrow vegetation trajectories
Satellite imagery combined with field observations proves effective for monitoring forest recovery after wind disturbances across large geographic areas and over multiple years.