Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests


Journal article


R. Montorio, F. Pérez-Cabello, D. B. Alves, A. García-Martín
Remote Sensing of Environment, vol. 249, 2020

DOI: 10.1016/j.rse.2020.112025

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APA   Click to copy
Montorio, R., Pérez-Cabello, F., Alves, D. B., & García-Martín, A. (2020). Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests. Remote Sensing of Environment, 249. https://doi.org/10.1016/j.rse.2020.112025


Chicago/Turabian   Click to copy
Montorio, R., F. Pérez-Cabello, D. B. Alves, and A. García-Martín. “Unitemporal Approach to Fire Severity Mapping Using Multispectral Synthetic Databases and Random Forests.” Remote Sensing of Environment 249 (2020).


MLA   Click to copy
Montorio, R., et al. “Unitemporal Approach to Fire Severity Mapping Using Multispectral Synthetic Databases and Random Forests.” Remote Sensing of Environment, vol. 249, 2020, doi:10.1016/j.rse.2020.112025 .


BibTeX   Click to copy

@article{r2020a,
  title = {Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests},
  year = {2020},
  journal = {Remote Sensing of Environment},
  volume = {249},
  doi = {10.1016/j.rse.2020.112025 },
  author = {Montorio, R. and Pérez-Cabello, F. and Alves, D. B. and García-Martín, A.}
}


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