Earth Observation for Environmental Monitoring
The main objective of our work is to apply Earth Observation (EO) techniques for monitoring and understanding key environmental processes such as the water cycle or vegetation dynamics in mountain regions. We exploit satellite imagery together with climate and in-situ data through advanced methodologies and physically based models to better understand and predict processes such as snow melt, run-off, or vegetation phenology. As output, we provide highly accurate, reliable, and customised methodologies and products, which are shared with the scientific community and alpine users.
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The cryosphere research line aims at developing new methods to monitor the alpine cryosphere combining optical and radar satellite images with in situ meteorological observations and snow model simulations. The application of these new methods allows us to better understand the processes related to the cryosphere dynamics improving in this way the management of the water resources e.g., snow water equivalent estimation and the related risks e.g., permafrost deformation.
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Water resources monitoring for agriculture and hydrology
We estimate soil moisture, evapotranspiration, and combined biophysical/meteorological indices by satellite data, physical and machine learning models, and ground observations. Our aim is contributing to understand processes and develop applications related to water use, water availability and land-vegetation-atmosphere interactions in close collaboration with hydrological modelers and agricultural stakeholders.
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Vegetation and Land-use Dynamics
Our research aims to monitor and understand the temporal dynamics and spatial distribution of the highly variable mountain vegetation. Specifically, we focus on mountain forests and grasslands that dominate the alpine environment. We use optical and radar data together with a variety of data from ground stations to monitor land-cover dynamics as well as bio-physical vegetation parameters at different scales to understand short and long-term impacts of climate change and land use change.
On the left is a snow-free surface. The satellite signal (red line) touches the ground and returns to the base following a linear path. Right: the snow deflects and interacts with the signal (blue line) which, in order to return to the satellite, takes a more complex route than it would have done had it not encountered the snow (dotted red line). © Eurac Research | Fabio Dalvit
Post-Doc ResearcherInstitute for Earth Observationude.email@example.com
Ludovica De Gregorio
Annika Dagmar Ludwig
TraineeInstitute for Earth Observationude.firstname.lastname@example.org
Junior ResearcherInstitute for Earth Observationude.email@example.com
Benedita Milheiro Santos
Senior ResearcherInstitute for Earth Observationude.firstname.lastname@example.org
Junior ResearcherInstitute for Earth Observationude.email@example.com
Research Group Projects
Assimilating Cosmic-Ray Neutron and Remote Sensing Data for Improved Water Resource ManagementDuration: September 2020 - December 2022
Alpine Drought ObservatoryDuration: September 2019 - June 2022Funding:
Using AI to validate and downscale ecosystem-related Essential Biodiversity Variables (EBVs) in ...Duration: September 2020 - September 2023
Monitoring sub-seasonal glacier mass balances and glacier melt water contribution to the total river ...Duration: January 2021 - December 2022
CCI+ Phase 1 - New ECVs / Snow (ESA Climate Change Initiative on the essential climate variable ...Duration: September 2018 - September 2021
Development of an innovative approach for the derivation of a drought index for alpine grassland by ...Duration: December 2020 - December 2021