GEO.INFORMED project
Published May 3, 2022 | Version v1
Presentation Open

Deep learning-based mapping of tree density and species diversity in Flemish forests

Authors/Creators

  • 1. EDMO icon Katholieke Universiteit Leuven
  • 2. ROR icon KU Leuven
  • 3. Research Institute for Nature and Forest

Description

Master thesis student Arno Leenknegt presented his work on Deep learning-based mapping of tree density and species diversity in Flemish forests, that he undertook as part of GEO.INFORMED use case 2 - Forest Monitoring

The full list of presentations of this AI4Copernicus event can be found here: https://www.ai4copernicus.org/presentation-2022/

Files

26_LEENKNEGT_Arno.pdf

Files (1.0 MB)

Name Size Download all
md5:6cfdf518c7d1a46542247c5c83cee9df
1.0 MB Preview Download

Additional details

Funding

Research Foundation - Flanders
GEO-INFORMED - Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy support SBO project S006421N