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

Forestcare LOGO


Hauke Kirchner Dorothea Sommer


01.04.2021 - 31.03.2023

Funded by

Federal Ministry of Education and Research