APP4AQ

activity - Wed, 13/12/2023 - 17:09

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.

VERITAS-AT

activity - Wed, 13/12/2023 - 17:06

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

EO-EnForCe

activity - Wed, 13/12/2023 - 17:03

Earth Observation to Enhance Forest Certification

BEAT IT!

activity - Wed, 13/12/2023 - 16:58

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

ARmEO

activity - Wed, 13/12/2023 - 16:55

Augmented Reality meets Earth Observation

EO4Water

activity - Wed, 13/12/2023 - 16:50

Application of Earth observation technologies for rural water management

GEDI-Sens

activity - Wed, 13/12/2023 - 16:44

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

FIRE-SAT

activity - Wed, 13/12/2023 - 16:17

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.

PhenObs+A17+A20

activity - Wed, 13/12/2023 - 16:09

Calibration of Sentinel Land Surface Phenology with Ground Phenological Observations for agricultural applications.

EO4Forest

activity - Wed, 13/12/2023 - 16:02

Use of multi-temporal Sentinel-2 and VHR (very-high-resolution) Pleiades stereo data for sustainable forest monitoring and management.

EO4FOREST combined multiple data sets with the following three overarching goals:

(i) Potential evaluation of Sentinel-2 to derive a wide range of forestry parameters and comparison of results with commonly available geospatial data (e.g., orthophotos),