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  • Titel
    Canadian Journal of Forest Research 2023, 53(2)
  • Erscheinungsort
    Ottawa
  • Verlag
  • Erscheinungsjahr
    2023
  • Seiten
    60-132
  • Material
    e-journal
  • Digitales Dokument
  • Standardsignatur
    9716
  • Datensatznummer
    40003835
  • Quelle
  • Abstract
    Tree stem volume estimation from terrestrial LiDAR point cloud by unwrapping; Stand validation of lidar forest inventory modeling for a managed southern pine forest; Combining forest growth models and remotely sensed data through a hierarchical model-based inferential framework; Post-wildfire salvage logging effects on snag structure and dead woody fuel loadings; Forecasting wildfire-induced declines in potential forest harvest levels across Québec.