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Showing 1–5 of 5 results
Advanced filters: Author: Jan Dirk Wegner Clear advanced filters
  • By modelling the distribution of the entire Swiss flora using deep learning and citizen science data, this study demonstrates a method that predicts flowering phenology and potentially dominant tree species more accurately than commonly used approaches. This approach could enable investigation of understudied aspects of ecology and refine our understanding of plant distributions.

    • Philipp Brun
    • Dirk N. Karger
    • Niklaus E. Zimmermann
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15
  • Using a deep learning approach, the authors outline a global canopy height map at 10-m resolution combining publicly available optical satellite images and space-borne LiDAR and show that only 5% of the global landmass is covered by trees taller than 30 m.

    • Nico Lang
    • Walter Jetz
    • Jan Dirk Wegner
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 7, P: 1778-1789
  • The increasing availability of digital technologies for monitoring food systems creates an opportunity for enhanced transparency, fairness and open access. This Perspective discusses these issues, as well as eventual risks and research gaps associated with them.

    • Eva-Marie Meemken
    • Inbal Becker-Reshef
    • Robert Finger
    Reviews
    Nature Food
    Volume: 5, P: 656-660
  • A tool that combines free satellite imagery, a machine learning model, and building footprint data enables the interactive mapping and assessment of war-related damage at scale, with the potential to adjust the confidence interval to the case at hand.

    • Olivier Dietrich
    • Torben Peters
    • Jan Dirk Wegner
    ResearchOpen Access
    Communications Earth & Environment
    Volume: 6, P: 1-10