foursail.inf The foursail (or 4SAIL) radiative transfer model is a RT model uses for simulating bidirectional reflectance distribution functions within vegetation canopies
foursail.inf.Rdfoursail.inf The foursail (or 4SAIL) radiative transfer model is a RT model uses for simulating bidirectional
reflectance distribution functions within vegetation canopies
Usage
foursail.inf(
inputLUT,
rsoil = r_understorey,
rleaf = r_leaf,
tleaf = t_leaf,
short.waves = T
)Value
understorey reflectance
rdot: hemispherical-directional reflectance factor in viewing direction rsot: bi-directional reflectance factor rsdt: directional-hemispherical reflectance factor for solar incident flux rddt: bi-hemispherical reflectance factor
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.