Using Machine Learning Algorithms to Classify Fire Risk in the Municipality Of Altamira in The State of Pará

Forest fires are a serious problem in Brazil. According to data from the National Institute for Space Research (INPE), the state of Pará, in Brazil, is home to the two most affected municipalities in the period of 2024, São Félix do Xingu and Altamira, causing environmental and health damage to the...

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Published in:2025 IEEE Latin Conference on IoT (LCIoT) pp. 111 - 115
Main Authors: Lopes da Costa, Nicole Victoria, Juvenal Menezes Filho, Averaldo, Santos Parente, Juan Carlos, Martins de Souza, Laiane, Di Paolo, Italo Flexa, de Oliveira Barreiros, Marta
Format: Conference Proceeding
Language:English
Published: IEEE 23.04.2025
Subjects:
Algorithms
Altamira
Classification
Classification algorithms
Fauna
Fire Risk
Forestry
Machine Learning
Machine learning algorithms
Monitoring
Nearest neighbor methods
Pará
Prediction algorithms
Prevention and mitigation
Support vector machines
Wildfires
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Abstract Forest fires are a serious problem in Brazil. According to data from the National Institute for Space Research (INPE), the state of Pará, in Brazil, is home to the two most affected municipalities in the period of 2024, São Félix do Xingu and Altamira, causing environmental and health damage to the population, highlighting the need for studies on the subject. Therefore, we analyzed the municipality of Altamira to study the classification of forest fire risk, between low, medium or high, correlating meteorological data from the National Institute of Meteorology (INMET) with fire records from INPE. In this study, we used the K-Nearest Neighbors (KNN), Extra Trees and Support Vector Machines (SVM) algorithms to classify forest fire risk, and the results show that the Extra Trees algorithm obtained the best performance with 84% accuracy, followed by KNN with 80.2% and SVM with 78.4%.
AbstractList Forest fires are a serious problem in Brazil. According to data from the National Institute for Space Research (INPE), the state of Pará, in Brazil, is home to the two most affected municipalities in the period of 2024, São Félix do Xingu and Altamira, causing environmental and health damage to the population, highlighting the need for studies on the subject. Therefore, we analyzed the municipality of Altamira to study the classification of forest fire risk, between low, medium or high, correlating meteorological data from the National Institute of Meteorology (INMET) with fire records from INPE. In this study, we used the K-Nearest Neighbors (KNN), Extra Trees and Support Vector Machines (SVM) algorithms to classify forest fire risk, and the results show that the Extra Trees algorithm obtained the best performance with 84% accuracy, followed by KNN with 80.2% and SVM with 78.4%.
Author Juvenal Menezes Filho, Averaldo
Martins de Souza, Laiane
Santos Parente, Juan Carlos
Di Paolo, Italo Flexa
de Oliveira Barreiros, Marta
Lopes da Costa, Nicole Victoria
Author_xml – sequence: 1
  givenname: Nicole Victoria
  surname: Lopes da Costa
  fullname: Lopes da Costa, Nicole Victoria
  email: nicole.costa@aluno.uepa.br
  organization: Pará State University,Bachelor's Student in Software Engineering,Castanhal,Brazil
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  givenname: Averaldo
  surname: Juvenal Menezes Filho
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  givenname: Juan Carlos
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  givenname: Laiane
  surname: Martins de Souza
  fullname: Martins de Souza, Laiane
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  organization: Pará State University,Bachelor's Student in Software Engineering,Castanhal,Brazil
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  givenname: Italo Flexa
  surname: Di Paolo
  fullname: Di Paolo, Italo Flexa
  email: itflexa@uepa.br
  organization: Pará State University,Professor in the Bachelor of Software Engineering Program,Ananindeua,Brazil
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  givenname: Marta
  surname: de Oliveira Barreiros
  fullname: de Oliveira Barreiros, Marta
  email: marta.do.barreiros@uepa.br
  organization: Pará State University,Professor in the Bachelor of Software Engineering Program,Castanhal,Brazil
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Snippet Forest fires are a serious problem in Brazil. According to data from the National Institute for Space Research (INPE), the state of Pará, in Brazil, is home to...
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StartPage 111
SubjectTerms Algorithms
Altamira
Classification
Classification algorithms
Fauna
Fire Risk
Forestry
Machine Learning
Machine learning algorithms
Monitoring
Nearest neighbor methods
Pará
Prediction algorithms
Prevention and mitigation
Support vector machines
Wildfires
Title Using Machine Learning Algorithms to Classify Fire Risk in the Municipality Of Altamira in The State of Pará
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