liberty: LIBERTY model

In ashiklom/rrtm: Implementations of radiative transfer models in R

LIBERTY model

Description

Leaf radiative transfer model designed for conifer needles.

Usage

liberty(
  D,
  xu,
  thick,
  baseline,
  element,
  c_factor,
  w_factor,
  l_factor,
  p_factor
)

Arguments

D	Cell diameter. Average leaf cell diameter (m-6). Typical value 40 (20-100).
xu	Intercellular air space. Determinant for the amount of radiative flux passing between cells. Typical value 0.045 (0.01-0.1)
thick	Leaf thickness. Arbitrary value to determine single leaf reflectance and transmittance from infinite reflectance criteria. Typical value 1.6 (1-10).
baseline	Baseline absorption. Wavelength-independent absorption to compensate for changes in absolute reflectance. Typical value 0.0006 for fresh leaves or or 0.0004 for dry leaves.
element	Albino absorption. Absorption in the visible region due to lignin. Typical value 2 (0-4).
c_factor	Chlorophyll content (mg m-2). Typical value 200 (0-600).
w_factor	Water content (g m-2). Typical value 100 (0-500).
l_factor	Lignin and cellulose content. Combined lignin and cellulose content (mg m-2). Typical value 40 (10-80).
p_factor	Nitrogen content (g m-2). Typical value 1 (0.3-2.0).

Details

Note that these coefficients are based on the original values from Dawson et al. (1998). Improved specific absorption coefficients are available from later work by Di Vittorio (2009).

Value

Length 4 list containing modeled reflectance, transmittance, wavelengths, and R (?).

Author(s)

Alexey Shiklomanov

References

Dawson, T. P., Curran, P. J., & Plummer, S. E. (1998). LIBERTY—Modeling the Effects of Leaf Biochemical Concentration on Reflectance Spectra. Remote Sensing of Environment, 65(1), 50–60. https://doi.org/10.1016/S0034-4257(98)00007-8

Di Vittorio, A. V. (2009). Enhancing a leaf radiative transfer model to estimate concentrations and in vivo specific absorption coefficients of total carotenoids and chlorophylls a and b from single-needle reflectance and transmittance. Remote Sensing of Environment, 113(9), 1948–1966. https://doi.org/10.1016/j.rse.2009.05.002

ashiklom/rrtm documentation built on Aug. 10, 2022, 5:04 a.m.