The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Vegetation indices in crop assessments
Overview
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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 1×
“The second right side term, ADM(EAPAR), is often approximately linear for much of the season for a given planting (Monteith, 1977) and its slope is the efficiency of conversion of photosynthetically active radiation to dry mass (e c, g D M / MJ), sometimes called radiation use efficiency (RUE).”
Background
Cited by
A modified soil adjusted vegetation index
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)90134-1 · Cited by 3,379
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
Mutanga, O., Adam, E., & Cho, M. A. (2012) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2012.03.012 · Cited by 854
Spatial validation of crop models for precision agriculture
Basso, B., Ritchie, J. T., Pierce, F. J., Braga, R. P., & Jones, J. W. (2001) · Agricultural Systems · doi:10.1016/s0308-521x(00)00063-9 · Cited by 221
Multimodal Deep Learning for Crop Yield Prediction
Jácome-Galarza, L.-R. (2022) · Communications in Computer and Information Science · doi:10.1007/978-3-031-18347-8_9 · Cited by 9
Metadata
- Authors
- Wiegand, C. L., Richardson, A. J., Escobar, D. E., & Gerbermann, A. H.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 1991-02
- Volume
- 35
- Issue
- 2-3
- Pages
- 105-119
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2047058045
- Cited by
- 407
- References
- 1
- FWCI
- 10.64
- 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.
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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: Vegetation indices in crop assessments. https://app.cochat.ai/papers/10.1016/0034-4257(91)90004-p
- The paper
- Wiegand, C. L., Richardson, A. J., Escobar, D. E., & Gerbermann, A. H. (1991). Vegetation indices in crop assessments. Remote Sensing of Environment. https://doi.org/10.1016/0034-4257(91)90004-p
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.
