Broad Leaf Bidirectional Scattering Distribution Functions (BSDFs)
The data relates to a study to captured deciduous broadleaf Bidirectional Scattering Distribution Functions (BSDFs) from the visible through shortwave-infrared (SWIR) spectral regions (350-2500 nm) and accurately modeled the BSDF for extension to any illumination angle, viewing zenith, or azimuthal angle. Measurements were made from three species of large trees, Norway maple (Acer platanoides), American sweetgum (Liquidambar styraciflua), and northern red oak (Quercus rubra). We then fit the data through nonlinear regression to physical, microfacet BSDF models. The significance of this work is the implications for forestry remote sensing, as rigorous models to represent leaves allow for the creation of more accurate forest scenes for radiative transfer modeling.
There are three different file types in this database. The first are .raw files that are ascii files of the estimated BSDF data from measurements (Note that the measurements are really bi-conical), the second are .py python files for reading, plotting, and fitting the data to a microfacet model. The last file type are .txt files of the microfacet fit parameters previously found.
- Python scripts for BRDF database files BRDF_Python_Scripts.zip (9.10 kB)
- Python scripts for BTDF database files BTDF_Python_Scripts.zip (10.97 kB)
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