Sentinel-2 Semantic Earth Observation Data and Information Cube for Austria.

Big EO data - challenge: The Copernicus Programme and its Sentinel satellites generate more open and freely available satellite data than any other space programme ever before.

Sentinel-2 data is heavily underused due to barriers in data download (volume) and programming free access for cloud-based analyses.

Improvement of wildFIRE detection by combining sentinel observations with plume backtrackings from a dispersion MODEL.

Innovative Applications for the augmented use of satellite observations to support Air Quality management.

We aimed to foster new and improved satellite data exploitation techniques, combining them with existing ancillary data to enhance the overall utility the satellite products for air quality monitoring, now, in the near future and beyond.

Improvement and verification of urban extreme Temperature predictions with satellite and ground observations in Austria.

Earth Observation to Enhance Forest Certification

Bark Beetle Early Detection and Forest Analysis Tools – Innovative Technologies for Copernicus Data.

Augmented Reality meets Earth Observation

Application of Earth observation technologies for rural water management

GEDI meets the Sentinels: Exploration of the Mutual benefits from Joint Use of GEDI and Sentinel-1 / Sentinel-2 data

Artificial Intelligence on Earth Observation Satellites

The project demonstrates the deployment of artificial intelligence in earth observation on satellite platforms. The rapid identification of phenomena directly in space, such as the investigated wildfire (smoke plume) detection in live pictures on the satellite, is essential to enable faster responses to time-critical developments on earth and enables completely new space missions and use cases.