The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity
Abstract
Accurate estimation of spatially distributed CO 2 fluxes is of great importance for regional and global studies of carbon balance. We applied a recently developed technique for remote estimation of crop chlorophyll content to assess gross primary production (GPP). The technique is based on reflectance in two spectral channels: the near‐infrared and either the green or the red‐edge. We have found that in irrigated and rainfed crops (maize and soybean), midday GPP is closely related to total crop chlorophyll content. The technique provided accurate estimations of midday GPP in both crops under rainfed and irrigated conditions with root mean square error of GPP estimation of less than 0.3 mg CO 2/m 2 s in maize (GPP ranged from 0 to 3.1 mg CO 2/m 2 s) and less than 0.2 mg CO 2/m 2 s in soybean (GPP ranged from 0 to 1.8 mg CO 2/m 2 s). Validation using an independent data set for irrigated and rainfed maize showed robustness of the technique; RMSE of GPP prediction was less than 0.27 mg CO 2/m 2 s.
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
Cites
Climate and the efficiency of crop production in Britain
Monteith, J. L. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0140 · Cited by 3,484
Cited by
Leaf chlorophyll content as a proxy for leaf photosynthetic capacity
Croft, H., Chen, J. M., Luo, X., Bartlett, P., Chen, B., & Staebler, R. M. (2017) · Global Change Biology · doi:10.1111/gcb.13599 · Cited by 744
Hyperspectral 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-citationImproving the monitoring of crop productivity using spaceborne solar‐induced fluorescence
Guan, K., Berry, J. A., Zhang, Y., Joiner, J., Guanter, L., Badgley, G., & Lobell, D. B. (2016) · Global Change Biology · doi:10.1111/gcb.13136 · Cited by 334
Ozdogan, M., & Gutman, G. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.04.010 · Cited by 305
Metadata
- Authors
- Gitelson, A. A., Viña, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J., Keydan, G., Leavitt, B., Ciganda, V., Burba, G. G., & Suyker, A. E.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2006-03
- Volume
- 111
- Issue
- D8
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2146754899
- Cited by
- 436
- References
- 1
- FWCI
- 8.53
- 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: Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. https://app.cochat.ai/papers/10.1029/2005jd006017
- The paper
- Gitelson, A. A., Viña, A., Verma, S. B., Rundquist, D. C., Arkebauer, T. J., Keydan, G., Leavitt, B., Ciganda, V., Burba, G. G., & Suyker, A. E. (2006). Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2005jd006017
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.
