Publicação:
Mapeamento da susceptibilidade á incêndios através de Sensoriamento Remoto no município de Cáceres

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dc.contributor.authorSouza, Felipe N. [UNESP]
dc.contributor.authorNegri, Rogério G. [UNESP]
dc.contributor.authorGino, Vinicius L.S. [UNESP]
dc.contributor.authorSimões, José V.O. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:13:52Z
dc.date.available2023-07-29T13:13:52Z
dc.date.issued2022-01-01
dc.description.abstractRecently, fire events recorded in Brazil have motivated the application of Remote Sensing and Machine Learning techniques in order to enable the monitoring and prevention of the impacts associated with these events. In this way, the present project aims to map the susceptibility to fires in forest regions through the application of Logistic Regression, built on the basis of the extraction of statistical descriptors under spectral indices.en
dc.description.affiliationInstituto de Ciência e Tecnologia – ICT Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, SP
dc.description.affiliationUnespInstituto de Ciência e Tecnologia – ICT Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, SP
dc.format.extent270-274
dc.identifier.citationProceedings of the Brazilian Symposium on GeoInformatics, p. 270-274.
dc.identifier.issn2179-4847
dc.identifier.scopus2-s2.0-85159115814
dc.identifier.urihttp://hdl.handle.net/11449/247357
dc.language.isopor
dc.relation.ispartofProceedings of the Brazilian Symposium on GeoInformatics
dc.sourceScopus
dc.titleMapeamento da susceptibilidade á incêndios através de Sensoriamento Remoto no município de Cácerespt
dc.title.alternativeMapping susceptibility to fires through remote sensing in the municipality of Cáceresen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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