TY - JOUR
T1 - Evaluation of a ray-tracing canopy light model based on terrestrial laser scans
AU - Bittner, Sebastian
AU - Gayler, Sebastian
AU - Biernath, Christian
AU - Winkler, Jana Barbro
AU - Seifert, Stefan
AU - Pretzsch, Hans
AU - Priesack, Eckart
N1 - Funding Information:
This study was conducted in the framework of the following research projects: The role of biodiversity for biogeochemical cycles and biotic interactions in temperate deciduous forests (DFG Research Training Group 1086), Growth and Parasite Defense * Competition for Resources in Economic Plants from Forestry and Agronomy (SFB 607), and Structure and Functions of Agricultural Landscapes under Global Climate Change (PAK 346) all funded by the German Research Foundation (DFG).
PY - 2012/10
Y1 - 2012/10
N2 - The local light regime within the tree canopy is crucial information for modeling water, carbon and nutrient cycling, and vegetation–atmosphere interactions. We tested the performance of a new model to simulate the light environment in the canopy of a juvenile beech stand under controlled light conditions. The canopy architecture was determined using a terrestrial laser scanner to derive a three-dimensional voxel representation. Depending on whether a voxel represents stem biomass, leaf biomass, or air, different attributes of light are assigned to the voxel. The model combines a representation of the canopy as three-dimensional cells (voxels) with a fast ray tracing algorithm that calculates the absorbed fraction of incoming photosynthetic active radiation (PAR). The simulated light regime of the stand was compared with measurements of the PAR regime inside the canopy (model efficiency Nash–Sutcliffe efficiency (NSE) = 0.88, root mean square error (RMSE) = 124 µmol m−2 s−1) and at the soil surface (NSE = 0.65, RMSE = 22 µmol m−2 s−1). The model needs two input parameters, the edge length of the voxels and the light attenuation coefficient of the voxels. The best simulation results were achieved at a voxel size of 0.03 m. For model calibration, only measurements of the light fraction that reaches the soil surface are needed. The good agreement of the simulated and the measured light regime together with the fast computation by the ray tracing algorithm suggest that the model is also applicable to simulate the light regime of natural forests under variable light conditions.
AB - The local light regime within the tree canopy is crucial information for modeling water, carbon and nutrient cycling, and vegetation–atmosphere interactions. We tested the performance of a new model to simulate the light environment in the canopy of a juvenile beech stand under controlled light conditions. The canopy architecture was determined using a terrestrial laser scanner to derive a three-dimensional voxel representation. Depending on whether a voxel represents stem biomass, leaf biomass, or air, different attributes of light are assigned to the voxel. The model combines a representation of the canopy as three-dimensional cells (voxels) with a fast ray tracing algorithm that calculates the absorbed fraction of incoming photosynthetic active radiation (PAR). The simulated light regime of the stand was compared with measurements of the PAR regime inside the canopy (model efficiency Nash–Sutcliffe efficiency (NSE) = 0.88, root mean square error (RMSE) = 124 µmol m−2 s−1) and at the soil surface (NSE = 0.65, RMSE = 22 µmol m−2 s−1). The model needs two input parameters, the edge length of the voxels and the light attenuation coefficient of the voxels. The best simulation results were achieved at a voxel size of 0.03 m. For model calibration, only measurements of the light fraction that reaches the soil surface are needed. The good agreement of the simulated and the measured light regime together with the fast computation by the ray tracing algorithm suggest that the model is also applicable to simulate the light regime of natural forests under variable light conditions.
UR - https://www.scopus.com/pages/publications/84871874393
U2 - 10.5589/m12-050
DO - 10.5589/m12-050
M3 - Article
AN - SCOPUS:84871874393
SN - 0703-8992
VL - 38
SP - 619
EP - 628
JO - Canadian Journal of Remote Sensing
JF - Canadian Journal of Remote Sensing
IS - 5
ER -