A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests

Louis-Etienne Boudreault, Andreas Bechmann, Lasse Taryainen, Leif Klemedtsson, Iurii Shendryk, Ebba Dellwik

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Abstract

The difficulty of obtaining accurate information about the canopy structure is a current limitation towards higher accuracy in numerical predictions of the wind field in forested terrain. The canopy structure in computational fluid dynamics is specified through the frontal area density and this information is required for each grid point in the three-dimensional computational domain. By using raw data from aerial LiDAR scans together with the Beer-Lambert law, we propose and test a method to calculate and grid highly variable and realistic frontal area density input. An extensive comparison with ground-based measurements of the vertically summed frontal area density (or plant area index) and tree height was used to optimize the method, both in terms of plant area index magnitude and spatial variability. The resolution of the scans was in general low (
Original languageEnglish
JournalAgricultural and Forest Meteorology
Volume201
Pages (from-to)86-97
Number of pages12
ISSN0168-1923
DOIs
Publication statusPublished - 2015

Keywords

  • AGRONOMY
  • FORESTRY
  • METEOROLOGY
  • LEAF-AREA INDEX
  • DISCRETE-RETURN LIDAR
  • BOUNDARY-LAYER
  • TURBULENCE
  • LAI
  • SIMULATION
  • ATMOSPHERE
  • BIOMASS
  • IMAGERY
  • HEIGHT
  • Forest
  • LiDAR
  • 3D
  • CFD
  • RANS

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