Authors:
Thadeu Brito
1
;
Ana I. Pereira
2
;
José Lima
3
;
João P. Castro
4
and
António Valente
5
Affiliations:
1
Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal
;
2
Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal, Algoritmi Research Centre, University of Minho, Campus de Gualtar, Braga, Portugal
;
3
Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal, INESC TEC - INESC Technology and Science, Porto, Portugal
;
4
CIMO - Centro de Investigaç ão da Montanha, Instituto Politécnico de Bragança, Bragança, Portugal
;
5
INESC TEC - INESC Technology and Science, Porto, Portugal, Engineering Department, School of Sciences and Technology, UTAD, Vila Real, Portugal
Keyword(s):
Wildfires, Regional Climate, Forest Fire Ignition, Ignition Detection.
Abstract:
Forests have been harassed by fire in recent years. Whether by human action or for other reasons, the burned
area has increased harming fauna and flora. It is fundamental to detect an ignition early in order to firefighters
fight the fire minimizing the fire impacts. The proposed Forest Monitoring System aims to improve the nature
monitoring and to enhance the existing surveillance systems. A set of innovative operations is proposed that
will allow to identify a forest ignition and also will monitor the fauna. For that, a set of sensors are being
developed and placed in the forest to transmit data and identify forest fire ignition. This paper addresses a
methodology that identifies the optimal positions to place the developed sensors in order to minimize the fire
hazard. Some preliminary results are shown by a stochastic algorithm that spread points to position the sensor
modules in areas with a high risk of fire hazard.