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Paper Information

Journal:   ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY   FALL 2017 , Volume 5 , Number 3 ; Page(s) 99 To 122.
 
Paper: 

MODELING THE SPREADING OF FOREST FIRE BASED ON A CELLULAR AUTOMATA USING THE MARKOV CHAIN AND MOLA WITH A NEIGHBORHOOD FILTER

 
 
Author(s):  PAHLAVANI PARHAM*, SAHRAIIAN HAMID REZA, RAEI AMIN
 
* SCHOOL OF SURVEYING AND GEOSPATIAL ENGINEERING, COLLEGE OF ENGINEERING, UNIVERSITY OF TEHRAN, TEHRAN, IRAN
 
Abstract: 

Nowadays, to reduce the damages and high costs of forest fire, there is a need for identifying the factors affecting forest fire, modeling the spread of the fire, as well as specifying the actions to extinguish forest fire. In this research, we tried to identify the biophylsical and human factors affecting spread of the fire in a study area using the geographically weighted regression (GWR) integrated with a genetic algorithm. Subsequently, spread of the forest fire was modeled using the cellular automata (CA), markov chain, and multi-objective land allocation (MOLA) with various neighborhood filters for calibration of transition rules of the CA. Moreover, a combination of the CA and logistic regression was used to compare with the results of the method mentioned above. Results showed that for the fire that happened on the study area on November 17, 2010, the proposed CA algorithm using Markov chain and MOLA with a 3×3 neighborhood filter and 30 m pixel size is more precise than those of the other neighborhood filters and pixel sizes. In this case, the kappa index, the overall accuracy, and the relative operating characteristic (ROC) were equalled to 88.8 %, 95.1 %, and 89.0 %, respectively. Also, comparison of two proposed methods of this research indicated that the CA algorithm using the Markov chain and MOLA reached more precise and accurate results than those achieved by the CA algorithm using the logistic regression.

 
Keyword(s): SPREADING OF FOREST FIRE, GEOGRAPHICALLY WEIGHTED REGRESSION, CELLULAR AUTOMATA, MARKOV CHAIN, MOLA, LOGISTIC REGRESSION
 
 
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APA: Copy

PAHLAVANI, P., & SAHRAIIAN, H., & RAEI, A. (2017). MODELING THE SPREADING OF FOREST FIRE BASED ON A CELLULAR AUTOMATA USING THE MARKOV CHAIN AND MOLA WITH A NEIGHBORHOOD FILTER. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 5(3 ), 99-122. https://www.sid.ir/en/journal/ViewPaper.aspx?id=573109



Vancouver: Copy

PAHLAVANI PARHAM, SAHRAIIAN HAMID REZA, RAEI AMIN. MODELING THE SPREADING OF FOREST FIRE BASED ON A CELLULAR AUTOMATA USING THE MARKOV CHAIN AND MOLA WITH A NEIGHBORHOOD FILTER. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY. 2017 [cited 2021July25];5(3 ):99-122. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=573109



IEEE: Copy

PAHLAVANI, P., SAHRAIIAN, H., RAEI, A., 2017. MODELING THE SPREADING OF FOREST FIRE BASED ON A CELLULAR AUTOMATA USING THE MARKOV CHAIN AND MOLA WITH A NEIGHBORHOOD FILTER. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, [online] 5(3 ), pp.99-122. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=573109.



 
 
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