Caatinga Burned Areas' Validation through a Machine Learning approach to the INPE's Burns and Forest Fires Monitoring

Authors

  • Olga Oliveira Bittencourt Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil
  • Cícero Alves dos Santos Júnior Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil
  • Pedro Lagden Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil
  • Lucas Oliveira Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil
  • Rafael Santos Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil
  • Fabiano Morelli Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil

DOI:

https://doi.org/10.37002/biodiversidadebrasileira.v9i1.1196

Keywords:

Burned areas classification, machine learning, Caatinga

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Author Biography

Olga Oliveira Bittencourt, Brazilian National Institute for Space Research (INPE), São José dos Campos, Brasil

Laboratório Associado de Computação e Matemática Aplicada - LAC

References

- Instituto Nacional de Pesquisas Espaciais (INPE): Programa de monitoramento de queimadas. http://www.inpe.br/queimadas/portal, accessed: 2018-01-28.

- Júnior, C. A. S, Bittencourt, O. O., Morelli, F. and Santos, R. Classificação de áreas queimadas por Machine Learning usando dados de Sensoriamento Remoto, XIX Simpósio Brasileiro de Sensoriamento Remoto, 2019.

- DEMsAR, J. et al. Orange: Data mining toolbox in python.

Journal of Machine Learning Research, v. 14, p. 2349-2353,

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Published

2019-05-15

Issue

Vol. 9 No. 1 (2019): Wildfire Conference: Resumos

Section

SUBTEMA 4

License

Copyright (c) 2019

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The authors retain copyright to the published works, which may be reused and disseminated in other media, provided that the original publication source (Biodiversidade Brasileira journal) is cited.