Big Earth Observation Data Science

This research line focuses on the scientific questions in the domain of computing technologies and software development for effective and efficient handling of EO data at scale. This includes research on the design and implementation of data cubes, on the fly processing, harmonization of access to heterogeneous data, integration of machine learning techniques and computing in cloud distributed environments.

Scientific Data Management and Processing

This topic brings science into action by bridging the gap between researchers, data and their processing needs, in a demanding big data environment. At the Institute level, we are hosting and processing the full MODIS and ESA Sentinel Satellite data time series for the Alpine arc as well as data from many other EO satellites and sensors. To create an efficient environment for research, the group is operating both on a private infrastructure of scalable petabyte storage and high-performance computing and on public cloud service platforms. Encouraging the uptake of novel technology in a constant dialog with the researchers, the data and development cycles are adjusted to inform real-world problem solutions and related research questions.

Publications