Glaciers in High Mountain Asia regulate freshwater supply and influence glacier-related hazards. This study presents an updated glacial lake inventory using Sentinel-2 images to assess risks and clima
Structural, glaciological, and geomorphological mapping of Himalayan glaciers
This study attempts to quantify the drivers of and impacts of glacier disconnection and fragmentation on ice masses in the Himalaya.
A Digital Twin for Austria for Alpine Hydrology and Future Hazards
We will show an accuracy assessment of the novel ECMWF Climate Digital Twin products with satellite-based snow and soil moisture products and its applications for alpine hydrology over Austria.
Interdisciplinary Approaches for Conservation of Taxus species in the Western Himalaya
This study integrates molecular and phytochemical analyses to resolve taxonomic ambiguities of the Taxus spp. in the species-rich Western Himalaya, enhancing conservation and Taxol-related research.
Multi-frequency Earth Observation for Vegetation Drought Impact monitoring across scales
Austria’s alpine forests face increased water stress. Our study demonstrates the use of Synthetic Aperture Radar, laser scanning and in situ data to improve forest monitoring over Alpine regions.
Application of the Random Forest classification algorithm with radar images in the mapping of the glacier cover of the Cordillera Blanca
This study was conducted in the Cordillera Blanca and evaluated Sentinel-1 images with Random Forest, seeking to optimize monitoring and improve the accuracy of glacier mapping.
Integrating Sentinel-II NDVI data into eddy-covariance postprocessing
Integrating Sentinel2 NDVI data improves eddy covariance postprocessing in sites with complex topography and heterogenous land cover.
The role of biotic and abiotic drivers in shaping treeline spatial patterns in the Italian Alps
The effect of microsite features and intra- and inter-specific relationship on tree spatial pattern at the elevational treeline in the Italian Alps is investigated by combining remote sensed data with
Patterns of glacier elevation change and appropriate models to assess observed and future ice loss
Classifying glacier elevation change patterns improves model selection, enhancing prediction accuracy and supporting AI-based automatic analysis using distinct models for different dynamic processes.
Gap-filling mountain regions of the Snow CCI SWE product using Bayesian snow reanalysis
Mountain snow water equivalent (SWE) estimates from assimilation of ESA CCI Snow cover fraction data into a Bayesian reanalysis scheme are promising to gap-fill mountain areas in Snow CCI SWE.