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dc.creatorNóbrega, Lawrence Oliveira de-
dc.creatorLazzarini, Gustavo Maximiano Junqueira-
dc.creatorViola, Marcelo Ribeiro-
dc.creatorBatista, Antônio Carlos-
dc.creatorCarvalho, Edmar Vinícius de-
dc.creatorGiongo, Marcos-
dc.date.accessioned2019-05-22T19:42:53Z-
dc.date.available2019-05-22T19:42:53Z-
dc.date.issued2018-
dc.identifier.citationNÓBREGA, L. O. de et al. Forest fire susceptibility index for assessing the history of fire occurrences in the indigenous land of kraholandia, Brazil. Advances in Forestry Science, Cuiabá, v. 5, n. 2, 2018.pt_BR
dc.identifier.urihttp://periodicoscientificos.ufmt.br/ojs/index.php/afor/article/view/5841pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/34356-
dc.description.abstractThe aim of this study was to examine the major factors influencing the occurrence of fires by analyzing the frequency ratio (FR) of areas with the greatest occurrence of prescribed burning and wildfire and to generate the susceptibility map of these occurrences for the Indigenous Territory of Kraholândia (Tocantins state), Brazil. A supervised classification method was apply using the Mahalanobis algorithm, and the fire scars were delimited from 2003 to 2014 based on images obtained from the Landsat-5, CBERS-2, ResourceSat-1, and Landsat8 satellites. The higher recurrence fire class was using as a reference to assess the following variables: topography; type of land use; soil classification; and distances from human settlement, roads, and waterways. The FR of prescribed burning or wildfire occurrences was determined for each variable and a subsequent map for all the variables was create wiht the FR value of the sum of each pixel was denoted as the fire susceptibility index (FSI). The factors showing the greatest correlation with the highest frequencies of prescribed burning and wildfire occurrences were vegetation types of farmland and rock field, areas used for agriculture, areas with slopes higher than 30%, altitudes above 350 m, areas in ridgelines, and proximity to roads. The FSI map can be an effective tool in planning and controlling forest fires.pt_BR
dc.languageen_USpt_BR
dc.publisherUniversidade Federal de Mato Grossopt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceAdvances in Forestry Sciencept_BR
dc.subjectCerradopt_BR
dc.subjectFrequency ratiopt_BR
dc.subjectRecurrencept_BR
dc.subjectRemote sensingpt_BR
dc.titleForest fire susceptibility index for assessing the history of fire occurrences in the indigenous land of kraholandia, Brazilpt_BR
dc.typeArtigopt_BR
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