ForestCare

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.

Project Goals

The sub-goals of the FORESTCARE project include:

1. 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;
2. acquire multi-source remote sensing data with high temporal-, spatial-, and spectral- resolution;
3. use high performance computing (HPC) techniques to process data and analyze feature correlations; and
4. 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.

Project Partners

• 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