The DOI matches its Crossref record.
The interpretation of spectral vegetation indexes
Abstract
Empirical studies report several plausible correlations between transforms of spectral reflectance, called vegetation indexes, and parameters descriptive of vegetation leaf area, biomass and physiological functioning. However, most indexes can be generalized to show a derivative of surface reflectance with respect to wavelength. This derivative is a function of the optical properties of leaves and soil particles. In the case of optically dense vegetation, the spectral derivative, and thus the indexes, can be rigorously shown to be indicative of the abundance and activity of the absorbers in the leaves. Therefore, the widely used broad-band &near-infrared vegetation indexes are a measure of chlorophyll abundance and energy absorption.
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
Increased plant growth in the northern high latitudes from 1981 to 1991
Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., & Nemani, R. R. (1997) · Nature · doi:10.1038/386698a0 · Cited by 3,442
Self-citationZhou, L., Tucker, C. J., Kaufmann, R. K., Slayback, D., Shabanov, N. V., & Myneni, R. B. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd000115 · Cited by 1,544
Self-citationSinka, M. E., Bangs, M. J., Manguin, S., Coetzee, M., Mbogo, C. M., Hemingway, J., Patil, A. P., Temperley, W. H., Gething, P. W., Kabaria, C. W., et al. (2010) · Parasites & Vectors · doi:10.1186/1756-3305-3-117 · Cited by 761
Fensholt, R., Sandholt, I., & Rasmussen, M. S. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.04.009 · Cited by 608
Sinka, M. E., Bangs, M. J., Manguin, S., Chareonviriyaphap, T., Patil, A. P., Temperley, W. H., Gething, P. W., Elyazar, I. R., Kabaria, C. W., Harbach, R. E., et al. (2011) · Parasites & Vectors · doi:10.1186/1756-3305-4-89 · Cited by 550
Metadata
- Authors
- Myneni, R. B., Hall, F. G., Sellers, P. J., & Marshak, A. L.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1995-03
- Volume
- 33
- Issue
- 2
- Pages
- 481-486
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2122400352
- Cited by
- 1,410
- References
- 0
- FWCI
- 10.83
- 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: The interpretation of spectral vegetation indexes. https://app.cochat.ai/papers/10.1109/36.377948
- The paper
- Myneni, R. B., Hall, F. G., Sellers, P. J., & Marshak, A. L. (1995). The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.377948
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.
