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R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. This is a mirror of https://jbferet.gitlab.io/prospect/

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prosail

An R package for the simulation of canopy reflectance using the model PROSAIL (PROSPECT+SAIL).

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1 Prerequirements

Install from repository

First, install the package devtools following the instructions depending on your operating system.

Then install git2r:

install.packages("git2r")

Install liquidSVM

prosail uses Support Vector Regression (SVR) for hybrid inversion, currently based on the package liquidSVM.

Please follow installation instructions provided in the documentation webpage.

!!! WINDOWS USERS !!!

Once liquidSVM is installed, you may need to add the 32bit DLL into the R library. this i386 directory should be copied into the local 'Path_For_My_R_distribution\library\liquidSVM\libs' directory on your computer.

Install prospect

You need to install the package prospect with the following command line in R session:

devtools::install_gitlab('jbferet/prospect')

2 Install prosail

The package prosail can then be installed with the following command line in R session:

devtools::install_gitlab('jbferet/prosail')

3 Tutorial

A tutorial vignette is available here.

4 Citation

If you use prosail, please cite the following references:

PROSPECT

Féret J-B, Gitelson AA, Noble SD & Jacquemoud S, 2017. PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle. Remote Sensing of Environment, 193, 204–215. https://doi.org/10.1016/j.rse.2017.03.004

Féret J-B, Berger K, de Boissieu F & Malenovský Z, 2020. Estimation of leaf protein and carbon-based constituent content from optical properties with the PROSPECT-PRO model. ArXiv200311961 Q-Bio.

4SAIL & 4SAIL2

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

PROSAIL

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

SOILSPECT

Jacquemoud S, Baret F, Hanocq J-F, 1992. Modeling spectral and bidirectional soil reflectance. Remote Sensing of Environment, 41, 123–132. https://doi.org/10.1016/0034-4257(92)90072-R

About

R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. This is a mirror of https://jbferet.gitlab.io/prospect/

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