Prospect
R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model. A tutorial can be found on the gitlab website
Install / Use
/learn @jbferet/ProspectREADME
prospect <img src="man/figures/logo.png" align="right" alt="" width="200" />
An R package for the simulation of leaf optical properties based on their biochemical and biophysical properties using the PROSPECT leaf model.
1 Install
After installing package devtools, the package prospect can be installed with the following command line in R session:
devtools::install_github("jbferet/prospect")
<span style="color:red">**WARNING : **</span> many functions have been renamed in v2.0 of the package. The documentation has been updated accordingly. Please refer to the documentation for additional information.
2 Tutorial
<!-- README.md is generated from README.Rmd. Please edit that file --> <!-- ```{r include = FALSE} --> <!-- knitr::opts_chunk$set( --> <!-- collapse = TRUE, --> <!-- comment = "#>", --> <!-- fig.path = "man/figures/README-", --> <!-- out.width = "100%" --> <!-- ) --> <!-- ``` -->A tutorial vignette is available here.
3 Acknowledgments / Fundings
This research was supported by the Agence Nationale de la Recherche (ANR, France) through the young researchers project BioCop (ANR-17-CE32-0001)
4 Citation
If you use prospect, please cite the following references for PROSPECT-PRO and PROSPECT-D:
Féret, J.-B. & de Boissieu, F. (2024). prospect: an R package to link leaf optical properties with their chemical and structural properties with the leaf model PROSPECT. Journal of Open Source Software, 9(94), 6027, https://doi.org/10.21105/joss.06027
Féret, J.-B., Berger, K., de Boissieu, F. & Malenovský, Z. (2021). PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents. Remote Sensing of Environment. 252, 112173. https://doi.org/10.1016/j.rse.2020.112173
Féret, J.-B., Gitelson, A.A., Noble, S.D. & Jacquemoud, S. (2017). PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle. Remote Sensing of Environment. 193, 204–215. http://dx.doi.org/10.1016/j.rse.2017.03.004
The inversion of PROSPECT using only directional-hemispherical reflectance or directional-hemispherical transmittance, and prior estimation of N is explained here:
Spafford, L., le Maire, G., MacDougall, A., de Boissieu, F. & Féret, J.-B. (2021). Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone. Remote Sensing of Environment. 252, 112176. https://doi.org/10.1016/j.rse.2020.112176
