The DOI matches its Crossref record.
Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶
Abstract
Spectral reflectance of maple, chestnut and beech leaves in a wide range of pigment content and composition was investigated to devise a nondestructive technique for total carotenoid (Car) content estimation in higher plant leaves. Reciprocal reflectance in the range 510 to 550 nm was found to be closely related to the total pigment content in leaves. The sensitivity of reciprocal reflectance to Car content was maximal in a spectral range around 510 nm; however, chlorophylls (Chl) also affect reflectance in this spectral range. To remove the Chl effect on the reciprocal reflectance at 510 nm, a reciprocal reflectance at either 550 or 700 nm was used, which was linearly proportional to the Chl content. Indices for nondestructive estimation of Car content in leaves were devised and validated. Reflectances in three spectral bands, 510+/-5 nm, either 550+/-15 nm or 700+/-7.5 nm and the near infrared range above 750 nm are sufficient to estimate total Car content in plant leaves nondestructively with a root mean square error of less than 1.75 nmol/cm2.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Remote estimation of canopy chlorophyll content in crops
Gitelson, A. A., Viña, A., Ciganda, V., Rundquist, D. C., & Arkebauer, T. J. (2005) · Geophysical Research Letters · doi:10.1029/2005gl022688 · Cited by 1,645
Self-citationHyperspectral remote sensing of plant pigments
Blackburn, G. A. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl123 · Cited by 722
A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation
Gitelson, A. A., Dall'Olmo, G., Moses, W., Rundquist, D. C., Barrow, T., Fisher, T. R., Gurlin, D., & Holz, J. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.04.015 · Cited by 659
Self-citationDetection in situ of carotenoid in microalgae by transmission spectroscopy
Shao, Y., Pan, J., Zhang, C., Jiang, L., & He, Y. (2015) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2014.10.008 · Cited by 24
Metadata
- Authors
- Gitelson, A. A., Zur, Y., Chivkunova, O. B., & Merzlyak, M. N.
- Venue
- Photochemistry and Photobiology
- Publisher
- American Society for Photobiology
- Published
- 2007-05-01
- Volume
- 75
- Issue
- 3
- Pages
- 272-281
- ISSN
- 0031-8655 (ISSN-L)
- OpenAlex
- W2121102297
- Cited by
- 769
- References
- 0
- FWCI
- 8.65
- 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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶. https://app.cochat.ai/papers/10.1562/0031-8655(2002)0750272accipl2.0.co2
- The paper
- Gitelson, A. A., Zur, Y., Chivkunova, O. B., & Merzlyak, M. N. (2007). Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶. Photochemistry and Photobiology. https://doi.org/10.1562/0031-8655(2002)0750272accipl2.0.co2
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.