TY  - JOUR
PY  - 2016//
TI  - GIS applied to location of fires detection towers in domain area of tropical forest
JO  - Science of the total environment
A1  - Eugenio, Fernando Coelho
A1  - Rosa Dos Santos, Alexandre
A1  - Fiedler, Nilton Cesar
A1  - Ribeiro, Guido Assunção
A1  - da Silva, Aderbal Gomes
A1  - Juvanhol, Ronie Silva
A1  - Schettino, Vitor Roberto
A1  - Marcatti, Gustavo Eduardo
A1  - Domingues, Getúlio Fonseca
A1  - Alves Dos Santos, Gleissy Mary Amaral Dino
A1  - Pezzopane, José Eduardo Macedo
A1  - Pedra, Beatriz Duguy
A1  - Banhos, Aureo
A1  - Martins, Lima Deleon
SP  - 542
EP  - 549
VL  - 562
IS  - 
N2  - 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>
LA  - en
SN  - 0048-9697
UR  - http://dx.doi.org/10.1016/j.scitotenv.2016.03.231
ID  - ref1
ER  -