The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1
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Citations
Cites
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
Gao, B.-C. (1996) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00067-3 · Cited by 6,951
Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview
Vermote, E. F., Tanre, D., Deuze, J. L., Herman, M., & Morcette, J.-J. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.581987 · Cited by 3,178
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Self-citationAtmospherically 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
Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆
HUNTJR, E., & ROCK, B. (1989) · Remote Sensing of Environment · doi:10.1016/0034-4257(89)90046-1 · Cited by 1,299
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
Asner, G. P. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00014-5 · Cited by 1,281
The reflectance at the 950–970 nm region as an indicator of plant water status
Peñuelas, J., Filella, I., Biel, C., Serrano, L., & Savé, R. (1993) · International Journal of Remote Sensing · doi:10.1080/01431169308954010 · Cited by 1,151
Detecting vegetation leaf water content using reflectance in the optical domain
Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., & Grégoire, J.-M. (2001) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00191-2 · Cited by 1,122
Self-citationStudy of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory
Cukier, R. I., Fortuin, C. M., Shuler, K. E., Petschek, A. G., & Schaibly, J. H. (1973) · The Journal of Chemical Physics · doi:10.1063/1.1680571 · Cited by 1,046
Nonlinear sensitivity analysis of multiparameter model systems
Cukier, R. I., Levine, H. B., & Shuler, K. E. (1978) · Journal of Computational Physics · doi:10.1016/0021-9991(78)90097-9 · Cited by 694
Cited by
Satellite-based modeling of gross primary production in an evergreen needleleaf forest
Xiao, X., Hollinger, D., Aber, J., Goltz, M., Davidson, E. A., Zhang, Q., & Moore, B. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.11.008 · Cited by 904
Jackson, T. J., Chen, D., Cosh, M., Li, F., Anderson, M., Walthall, C., Doriaswamy, P., & Hunt, E. R. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.10.021 · Cited by 818
Kokaly, R. F., Asner, G. P., Ollinger, S. V., Martin, M. E., & Wessman, C. A. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.10.018 · Cited by 631
Zhang, X., Friedl, M. A., & Schaaf, C. B. (2006) · Journal of Geophysical Research: Biogeosciences · doi:10.1029/2006jg000217 · Cited by 517
Chuvieco, E., Cocero, D., Riaño, D., Martin, P., Martı́nez-Vega, J., de la Riva, J., & Pérez, F. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.01.019 · Cited by 377
Metadata
- Authors
- Ceccato, P., Gobron, N., Flasse, S., Pinty, B., & Tarantola, S.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 82
- Issue
- 2-3
- Pages
- 188-197
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2224070395
- Cited by
- 666
- References
- 17
- FWCI
- 17.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. https://app.cochat.ai/papers/10.1016/s0034-4257(02)00037-8
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- Ceccato, P., Gobron, N., Flasse, S., Pinty, B., & Tarantola, S. (2002). Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(02)00037-8
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.
