The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Vegetation in deserts: I. A regional measure of abundance from multispectral images
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Citations
Cites
Red and photographic infrared linear combinations for monitoring vegetation
Tucker, C. J. (1979) · Remote Sensing of Environment · doi:10.1016/0034-4257(79)90013-0 · Cited by 11,754
Bidirectional reflectance spectroscopy: 1. Theory
Hapke, B. (1981) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb086ib04p03039 · Cited by 1,888
Kauth, R. J., & Thomas, G. (1976) · Purdue e-Pubs (Purdue University System) · Cited by 1,417
Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site
Adams, J. B., Smith, M. O., & Johnson, P. E. (1986) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb091ib08p08098 · Cited by 1,268
Self-citationA Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap
Crist, E. P., & Cicone, R. C. (1984) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.1984.350619 · Cited by 1,257
Bidirectional reflectance spectroscopy
Hapke, B. (1984) · Icarus · doi:10.1016/0019-1035(84)90054-x · Cited by 1,204
Analysis of the phenology of global vegetation using meteorological satellite data
JUSTICE, C. O., TOWNSHEND, J. R. G., HOLBEN, B. N., & TUCKER, C. J. (1985) · International Journal of Remote Sensing · doi:10.1080/01431168508948281 · Cited by 1,113
Spectral response of a plant canopy with different soil backgrounds
Huete, A. R., Jackson, R. D., & Post, D. F. (1985) · Remote Sensing of Environment · doi:10.1016/0034-4257(85)90111-7 · Cited by 818
Vegetation of the Earth and Ecological Systems of the Geobiosphere
Walter, H. (1979) · Heidelberg Science Library · doi:10.1007/978-1-4684-0468-5 · Cited by 776
Choudhury, B. J. (1987) · Remote Sensing of Environment · doi:10.1016/0034-4257(87)90059-9 · Cited by 364
Cited by
A survey of image classification methods and techniques for improving classification performance
Lu, D., & Weng, Q. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600746456 · Cited by 3,402
Optimization of endmembers for spectral mixture analysis
Tompkins, S. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00122-8 · Cited by 334
Automated Mapping of Montane Snow Cover at Subpixel Resolution from the Landsat Thematic Mapper
Rosenthal, W., & Dozier, J. (1996) · Water Resources Research · doi:10.1029/95wr02718 · Cited by 295
STEININGER, M. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948984 · Cited by 176
Metadata
- Authors
- Smith, M. O., Ustin, S. L., Adams, J. B., & Gillespie, A. R.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 1990-01
- Volume
- 31
- Issue
- 1
- Pages
- 1-26
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2038353908
- Cited by
- 759
- References
- 20
- FWCI
- 15.71
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Vegetation in deserts: I. A regional measure of abundance from multispectral images. https://app.cochat.ai/papers/10.1016/0034-4257(90)90074-v
- The paper
- Smith, M. O., Ustin, S. L., Adams, J. B., & Gillespie, A. R. (1990). Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sensing of Environment. https://doi.org/10.1016/0034-4257(90)90074-v
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.
