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PROSPECT: A model of leaf optical properties spectra
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Citations
Cited by
Detecting vegetation leaf water content using reflectance in the optical domain
Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., & Grégoire, J.-M. (2001) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00191-2 · Cited by 1,122
Self-citationAdvanced methods of plant disease detection. A review
Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., Villa, P., Stroppiana, D., Boschetti, M., Goulart, L. R., et al. (2015) · Agronomy for Sustainable Development · doi:10.1007/s13593-014-0246-1 · Cited by 964
Optical vegetation indices for monitoring terrestrial ecosystems globally
Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00298-5 · Cited by 837
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
Mohammed, G. H., Colombo, R., Middleton, E. M., Rascher, U., van der Tol, C., Nedbal, L., Goulas, Y., Pérez-Priego, O., Damm, A., Meroni, M., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.030 · Cited by 747
Hyperspectral remote sensing of plant pigments
Blackburn, G. A. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl123 · Cited by 722
Metadata
- Authors
- Jacquemoud, S., & Baret, F.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 1990-11
- Volume
- 34
- Issue
- 2
- Pages
- 75-91
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2066612219
- Cited by
- 2,400
- References
- 0
- FWCI
- 11.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: PROSPECT: A model of leaf optical properties spectra. https://app.cochat.ai/papers/10.1016/0034-4257(90)90100-z
- The paper
- Jacquemoud, S., & Baret, F. (1990). PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment. https://doi.org/10.1016/0034-4257(90)90100-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
