The worldwide forest industry is in an upheaval state due to climate change. The project FORESTCARE (–Single-tree
satellite-based forest ecosystem monitoring with autoadaptive hyperdimensions – Geodata analysis) aims to monitor
regional forest growth on a single-tree level, recommend and evaluate alternative adapted species for afforestation
measures, and coordinate preventive forest protection measures at an early stage.
The sub-goals of the FORESTCARE project include:
- design and use of the drone-based odor sensor to analyze chemical messengers from trees as an early warning system
for the detection of calamities;
- acquire multi-source remote sensing data with high temporal-, spatial-, and spectral- resolution;
- use high performance computing (HPC) techniques to process data and analyze feature correlations; and
- training high generalizable deep neural networks to identify the vitality of individual trees.
GWDG’s Role in the project
The GWDG tasks in the FORESTCARE project include: 1) internal project management; 2) algorithms of electronic nose
evaluation; 3) HPC server support; and 4) development of artificial/deep convolutional neural networks.
- AWI – Abteilung für Arbeitswissenschaft und Verfahrenstechnologie
- Georg-August-University Göttingen
- FeLIS – Chair of Remote Sensing and Landscape Information Systems
- Albert-Ludwigs-University Freiburg
- GWDG – Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen
- GISCON – GISCON Systems GmbH
- CONTERRA – conterra GmbH