prospect
prospect: an R package to link leaf optical properties with their chemical and structural properties with the leaf model PROSPECT - Published in JOSS (2024)
Science Score: 93.0%
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Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
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
Basic Info
- Host: GitHub
- Owner: jbferet
- License: mit
- Language: R
- Default Branch: master
- Homepage: https://jbferet.gitlab.io/prospect/
- Size: 10.1 MB
Statistics
- Stars: 18
- Watchers: 3
- Forks: 3
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
prospect 
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")
2 Tutorial
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
Owner
- Login: jbferet
- Kind: user
- Repositories: 2
- Profile: https://github.com/jbferet
JOSS Publication
prospect: an R package to link leaf optical properties with their chemical and structural properties with the leaf model PROSPECT
Authors
Tags
leaf spectroscopy vegetation biophysical properties remote sensing physical modeling iterative optimizationGitHub Events
Total
- Watch event: 4
- Push event: 5
Last Year
- Watch event: 4
- Push event: 5
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jean-Baptiste Feret | j****t@t****r | 150 |
| Florian de Boissieu | f****s@g****m | 42 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 11
- Total pull requests: 1
- Average time to close issues: about 1 month
- Average time to close pull requests: about 23 hours
- Total issue authors: 4
- Total pull request authors: 1
- Average comments per issue: 1.64
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ashiklom (7)
- earth-chris (2)
- morelju (1)
Pull Request Authors
- kthyng (2)
Top Labels
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Dependencies
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- knitr * suggests
- rmarkdown * suggests
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- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
