The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Optical–Biophysical Relationships of Vegetation Spectra without Background Contamination
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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
Chandrasekhar, S. (1950) · CERN Document Server (European Organization for Nuclear Research) · Cited by 8,702
A soil-adjusted vegetation index (SAVI)
Huete, A. R. (1988) · Remote Sensing of Environment · doi:10.1016/0034-4257(88)90106-x · Cited by 7,948
Terrestrial ecosystem production: A process model based on global satellite and surface data
Potter, C. S., Randerson, J. T., Field, C. B., Matson, P. A., Vitousek, P. M., Mooney, H. A., & Klooster, S. A. (1993) · Global Biogeochemical Cycles · doi:10.1029/93gb02725 · Cited by 2,986
Canopy reflectance, photosynthesis and transpiration
SELLERS, P. J. (1985) · International Journal of Remote Sensing · doi:10.1080/01431168508948283 · Cited by 2,278
A comparison of vegetation indices over a global set of TM images for EOS-MODIS
Huete, A. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00112-5 · Cited by 2,004
Potentials and limits of vegetation indices for LAI and APAR assessment
Baret, F., & Guyot, G. (1991) · Remote Sensing of Environment · doi:10.1016/0034-4257(91)90009-u · Cited by 1,984
Running, S. W., & Coughlan, J. C. (1988) · Ecological Modelling · doi:10.1016/0304-3800(88)90112-3 · Cited by 1,479
Atmospherically resistant vegetation index (ARVI) for EOS-MODIS
Kaufman, Y. J., & Tanré, D. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.134076 · Cited by 1,434
Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
Roujean, J.-L., & Breon, F.-M. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)00114-3 · Cited by 1,422
Cited by
Adam, E., Mutanga, O., & Rugege, D. (2010) · Wetlands Ecology and Management · doi:10.1007/s11273-009-9169-z · Cited by 1,018
Optical vegetation indices for monitoring terrestrial ecosystems globally
Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00298-5 · Cited by 837
Partitioning evapotranspiration based on the concept of underlying water use efficiency
Zhou, S., Yu, B., Zhang, Y., Huang, Y., & Wang, G. (2016) · Water Resources Research · doi:10.1002/2015wr017766 · Cited by 304
Li, M., Zhao, C., Duan, Z., Cheng, H., Lian, Y., & Wang, G. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2024.131913 · Cited by 9
Metadata
- Authors
- Gao, X.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2000-12
- Volume
- 74
- Issue
- 3
- Pages
- 609-620
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W1685317713
- Cited by
- 677
- References
- 27
- FWCI
- 4.23
- 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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- CoChat. (2026). Citation check: Optical–Biophysical Relationships of Vegetation Spectra without Background Contamination. https://app.cochat.ai/papers/10.1016/s0034-4257(00)00150-4
- The paper
- Gao, X. (2000). Optical–Biophysical Relationships of Vegetation Spectra without Background Contamination. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(00)00150-4
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.