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: 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.

The running time of the FORESTCARE project is 04/01/2021 – 03/31/2023 (two years). This project is funded by the Federal Ministry of Education and Research, and the total amount is approximately 30 million euros. The consortium includes: AWI – Abteilung für Arbeitswissenschaft und Verfahrenstechnologie, Georg-August-Universität Göttingen; FeLIS – Professur für Fernerkundung und Landschaftsinformationssysteme, Albert-Ludwigs-Universität Freiburg; GWDG – Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen; GISCON – GISCON Systems GmbH; and CONTERRA – conterra GmbH.

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.

  • Impressum
  • Privacy
  • research/projects/forestcare/start.txt
  • Last modified: 2023-08-28 10:40
  • by