The DOI matches its Crossref record.
Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves
Abstract
The possibility of estimating the concentration of individual photosynthetic pigments within vegetation from reflectance spectra offers great promise for the use of remote sensing to assess physiological status, species type and productivity. This study evaluates a number of spectral indices for estimating pigment concentrations at the leaf scale, using samples from deciduous trees at various stages of senescence. Two new indices (PSSR and PSND) are developed which have advantages over previous techniques. The optimal individual wavebands for pigment estimation are identified empirically as 680nm for chlorophyll a, 635nm for chlorophyll b and 470nm for the carotenoids. These wavebands are justified theoretically and are shown to improve the performance of many of the spectral indices tested. Strong predictive models are demonstrated for chlorophyll a and b, but not for the carotenoids and the paper explores the reasons for this.
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
Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
Thenkabail, P. S., Smith, R. B., & De Pauw, E. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00067-x · Cited by 1,313
Plant breeding and drought in C3 cereals: What should we breed for?
ARAUS, J. L. (2002) · Annals of Botany · doi:10.1093/aob/mcf049 · Cited by 1,243
Hyperspectral remote sensing of plant pigments
Blackburn, G. A. (2006) · Journal of Experimental Botany · doi:10.1093/jxb/erl123 · Cited by 722
Self-citationCalderón, R., Navas-Cortés, J. A., Lucena, C., & Zarco-Tejada, P. J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.07.031 · Cited by 482
Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
Wang, F., Gao, J., & Zha, Y. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.12.003 · Cited by 282
Metadata
- Authors
- Blackburn, G. A.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1998-01
- Volume
- 19
- Issue
- 4
- Pages
- 657-675
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2098247895
- Cited by
- 685
- References
- 0
- FWCI
- 5.18
- 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: Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. https://app.cochat.ai/papers/10.1080/014311698215919
- The paper
- Blackburn, G. A. (1998). Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves. International Journal of Remote Sensing. https://doi.org/10.1080/014311698215919
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.