@article{ref1,
title="GIS applied to location of fires detection towers in domain area of tropical forest",
journal="Science of the total environment",
year="2016",
author="Eugenio, Fernando Coelho and Rosa Dos Santos, Alexandre and Fiedler, Nilton Cesar and Ribeiro, Guido Assunção and da Silva, Aderbal Gomes and Juvanhol, Ronie Silva and Schettino, Vitor Roberto and Marcatti, Gustavo Eduardo and Domingues, Getúlio Fonseca and Alves Dos Santos, Gleissy Mary Amaral Dino and Pezzopane, José Eduardo Macedo and Pedra, Beatriz Duguy and Banhos, Aureo and Martins, Lima Deleon",
volume="562",
number="",
pages="542-549",
abstract="In most countries, the loss of biodiversity caused by the fires is worrying. In this sense, the fires detection towers are crucial for rapid identification of fire outbreaks and can also be used in environmental inspection, biodiversity monitoring, telecommunications mechanisms, telemetry and others. Currently the methodologies for allocating fire detection towers over large areas are numerous, complex and non-standardized by government supervisory agencies. Therefore, this study proposes and evaluates different methodologies to best location of points to install fire detection towers considering the topography, risk areas, conservation units and heat spots. Were used Geographic Information Systems (GIS) techniques and unaligned stratified systematic sampling for implementing and evaluating 9 methods for allocating fire detection towers. Among the methods evaluated, the C3 method was chosen, represented by 140 fire detection towers, with coverage of: a) 67% of the study area, b) 73.97% of the areas with high risk, c) 70.41% of the areas with very high risk, d) 70.42% of the conservation units and e) 84.95% of the heat spots in 2014. The proposed methodology can be adapted to areas of other countries.<br><br>Copyright © 2016 Elsevier B.V. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="0048-9697",
doi="10.1016/j.scitotenv.2016.03.231",
url="http://dx.doi.org/10.1016/j.scitotenv.2016.03.231"
}