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Performs PROSAIL simulation based on a set of combinations of input parameters

foursail_t_o.Rd

for estimating Crown transmittance in observation direction (t_o)

Usage

foursail_t_o(inputLUT, rsoil = r_understorey, rleaf = r_leaf, tleaf = t_leaf)

Arguments

inputLUT

LUT table with distribution of biophysical parameters used as input parameters in the model. Must include a 'skyl' column (fraction of diffuse sky illumination, 0-1) in addition to the standard LAI/LIDFa/LIDFb/TypeLidf/tts/tto/psi columns — this is not part of the standard PROSAIL LUT structure and must be added explicitly.

rsoil

numeric. Soil reflectance (here the reflectance of understorey)

rleaf

leaf reflectance

tleaf

leaf transmittance

Value

Crown transmittance in the observation direction

References

Verhoef W & Bach H, 2007. Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data. Remote Sensing of Environment, 109:166-182. doi:10.1016/j.rse.2006.12.013

Verhoef W, Jia L, Xiao Q & Su Z, 2007. Unified optical-thermal four-stream radiative transfer theory for homogeneous vegetation canopies. IEEE Transactions in Geosciences and Remote Sensing, 45:1808–1822. https://doi.org/10.1109/TGRS.2007.895844

Jacquemoud S, Verhoef W, Baret F, Bacour C, Zarco-Tejada PJ, Asner GP, François C & Ustin SL, 2009. PROSPECT+ SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment, 113:S56–S66. https://doi.org/doi:10.1016/j.rse.2008.01.026

Berger K, Atzberger C, Danner M, D’Urso G, Mauser W, Vuolo F & Hank T 2018. Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study. Remote Sensing, 10:85. https://doi.org/10.3390/rs10010085

Authors:

Verhoef W.

Bach H.

Authors of the R version:

Jean-Baptiste Feret

The fourSAIL model is based on a version provided by Wout Verhoef et al. (2007)

original version downloadable at http://teledetection.ipgp.jussieu.fr/prosail/

Improved and extended version of SAILH model that avoids numerical singularities and works more efficiently if only few parameters change.