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 user through our Sentinel Alpine Observatory.
Water Resources and Cryosphere
Our aim is to
develop satellite-based methods for the retrieval and monitoring of relevant
parameters related to the water resources and cryosphere such as soil moisture,
snow cover, or evapotranspiration. Therefore, our research focuses on the
exploitation and integration of multi-modal data – i.e. multi-temporal,
multi-resolution, and multi-frequency data. These parameters are used for
supporting the management of the water resources that influence economic and
social development by directly affecting sectors such as agriculture,
hydropower production, and natural phenomena (e.g. flood event).
Vegetation and Land-use Dynamics
The main aim of Vegetation and Land-use Dynamics research is the monitoring and understanding of the temporal dynamics and spatial distribution of the highly variable mountain vegetation. Specifically, we focus on forest and grasslands that dominate the alpine environment.
We use optical and radar data as well as a high variety of data from ground stations and UAV acquisitions to monitor land-cover dynamics as well as bio-physical vegetation parameters at different scales through adapting existing approaches and developing new methods.