Predicting the Forest Fire Spreading Using a Cellular Automata and an Artificial Neural Network

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PAHLAVANI PARHAM; SAHRAIIAN HAMID REZA; BIGDELI BEHNAZ

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2019 | Volume:6 | Issue:4 Page(s): 73-95

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Title

Predicting the Forest Fire Spreading Using a Cellular Automata and an Artificial Neural Network

Author(s)

PAHLAVANI PARHAM | SAHRAIIAN HAMID REZA | BIGDELI BEHNAZ | Issue Writer Certificate

Keywords

Forest FireQ1

Genetic AlgorithmQ2

Multivariate Adaptive Regression SplineQ1

Cellular AutomataQ1

Artificial Neural NetworkQ2

Abstract

Forests are the most important natural resources of any country that preserving and procting them has a special important role. Forest Fire is one the incidents causing major damages to the forests. Hence, in on order to reduce this damage, it is extremely important to determine factors affecting Forest Fire and to model the spread of fire. In this study, an integration between a Multivariate Adaptive Regression Spline (MARS) and a Genetic Algorithm (GA) has been used to determine factors which have effect on Golestan Forest Fire. The 9 factors were determined as optimal factors including maximum temperature, average temperature, minimum temperature, dominant wind direction, maximum wind speed, soil, land use, aspect, and distance from residential areas. In combination with Cellular Automata (CA) and Artificial Neural Network (ANN), Golestan Forest Fire has been simulated. For examining the effects of the size of the neighborhood filter on the results, various sizes of the neighborhood filter including 3×3, 5×5, and 7×7 have been used. Results showed that the best precision can be achieved for the fire of the study area happened on November 17, 2010 with a 3×3 neighborhood filter and 30 m pixel size. In this situation, the Kappa index, the relative operating characteristic (ROC), and the overall accuracy were equall to 0. 890%, 0. 917%, and 0. 953%, respectively.

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APA: Copy

PAHLAVANI, PARHAM, SAHRAIIAN, HAMID REZA, & BIGDELI, BEHNAZ. (2019). Predicting the Forest Fire Spreading Using a Cellular Automata and an Artificial Neural Network. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 6(4 ), 73-95. SID. https://sid.ir/paper/230073/en

Vancouver: Copy

PAHLAVANI PARHAM, SAHRAIIAN HAMID REZA, BIGDELI BEHNAZ. Predicting the Forest Fire Spreading Using a Cellular Automata and an Artificial Neural Network. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;6(4 ):73-95. Available from: https://sid.ir/paper/230073/en

IEEE: Copy

PARHAM PAHLAVANI, HAMID REZA SAHRAIIAN, and BEHNAZ BIGDELI, “Predicting the Forest Fire Spreading Using a Cellular Automata and an Artificial Neural Network,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 6, no. 4 , pp. 73–95, 2019, [Online]. Available: https://sid.ir/paper/230073/en

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