Skip to main navigation Skip to search Skip to main content

Hyperspectral UAV-Imagery and photogrammetric canopy height model in estimating forest stand variables

  • Sakari Tuominen*
  • , Andras Balazs
  • , Eija Honkavaara
  • , Ilkka Pölönen
  • , Heikki Saari
  • , Teemu Hakala
  • , Niko Viljanen
    • *Corresponding author for this work
    • Natural Resources Institute Finland (Luke)
    • National Land Survey of Finland (NLS)
    • University of Jyväskylä

    Research output: Contribution to journal › Article › Scientific › peer-review

    34   Link opens in a new tab Citations (Scopus)

    Fingerprint

    Dive into the research topics of 'Hyperspectral UAV-Imagery and photogrammetric canopy height model in estimating forest stand variables'. Together they form a unique fingerprint.
    Sort by

    Keyphrases

    INIS

    Agricultural and Biological Sciences

    Earth and Planetary Sciences