The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating
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Citations
Cites
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
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
Justice, C. O., Giglio, L., Korontzi, S., Owens, J., Morisette, J. T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F., & Kaufman, Y. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00076-7 · Cited by 1,232
Moran, M. S., Clarke, T. R., Inoue, Y., & Vidal, A. (1994) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)90020-5 · Cited by 1,221
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
Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1
Ceccato, P., Gobron, N., Flasse, S., Pinty, B., & Tarantola, S. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00037-8 · Cited by 666
Scale in remote sensing and GIS
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1541 · Cited by 550
PRIMARY AND SECONDARY EFFECTS OF WATER CONTENT ON THE SPECTRAL REFLECTANCE OF LEAVES
Carter, G. A. (1991) · American Journal of Botany · doi:10.1002/j.1537-2197.1991.tb14495.x · Cited by 538
On the nature of models in remote sensing
Strahler, A. H., Woodcock, C. E., & Smith, J. A. (1986) · Remote Sensing of Environment · doi:10.1016/0034-4257(86)90018-0 · Cited by 464
Jacquemoud, S. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(00)00139-5 · Cited by 451
Cited by
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
Pham, B. T., Jaafari, A., Avand, M., Al-Ansari, N., Dinh Du, T., Yen, H. P. H., Phong, T. V., Nguyen, D. H., Le, H. V., Mafi-Gholami, D., et al. (2020) · Symmetry · doi:10.3390/sym12061022 · Cited by 284
Fire models and methods to map fuel types: The role of remote sensing
Arroyo, L. A., Pascual, C., & Manzanera, J. A. (2008) · Forest Ecology and Management · doi:10.1016/j.foreco.2008.06.048 · Cited by 272
Modeling fire danger in data-poor regions: a case study from the Russian Far East
Loboda, T. V. (2009) · International Journal of Wildland Fire · doi:10.1071/wf07094 · Cited by 22
Metadata
- Authors
- Chuvieco, E., Cocero, D., Riaño, D., Martin, P., Martı́nez-Vega, J., de la Riva, J., & Pérez, F.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2004-08
- Volume
- 92
- Issue
- 3
- Pages
- 322-331
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2150764041
- Cited by
- 377
- References
- 26
- FWCI
- 11.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. https://app.cochat.ai/papers/10.1016/j.rse.2004.01.019
- The paper
- Chuvieco, E., Cocero, D., Riaño, D., Martin, P., Martı́nez-Vega, J., de la Riva, J., & Pérez, F. (2004). Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2004.01.019
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.
