Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread

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Alhaj khalaf M.W.; SHATAEE SH.; JAHDI R.

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Paper Information

Journal: Iranian Journal of Forest and Poplar Research Year:2021 | Volume:28 | Issue:4 (82) Page(s): 351-369

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Title

Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread

Author(s)

Alhaj khalaf M.W. | SHATAEE SH. | JAHDI R. | Issue Writer Certificate

Keywords

Bee colony algorithmQ1

Golestan ProvinceQ2

optimizationQ1

reforestationQ1

SentinelQ1

Abstract

As one of the most widely used models for fire spread simulation, cellular automata models commonly require appropriate parameters and the optimized coefficients. The main aim of this study was to compare the basic models of cell automation set by previous studies and optimized models using the Bee colony algorithm (ABC) to predict the rate of fire spread in a reforestation area in northeastern Golestan Province, Iran. Furthermore, a sub-objective was to test the ability of optical and radar sensors (Sentinel 1 and 2) for mapping the vegetation stand type and density required for fire spread modeling. Following pre-processing and extraction of vegetation indices, vegetation type and density were mapped by the Random Forest algorithm. The accuracy assessment showed that the best result was obtained by combining the optical and radar data (Kappa coefficient (KC) = 0. 75 and Overall accuracy (OA) = 0. 81). Moreover, the fire spread was modeled using previous and optimized coefficients from previous studies. Model coefficients were optimized based on environmental conditions using the BCA algorithm and were compared with the occurred fire to improve the results and comparative evaluation. The results showed that the optimized models were more consistent (Sorenson coefficient (SC) = 0. 78; KC = 0. 74 and OA = 0. 93 for Alexandridis et al., 2011; and SC = 0. 78; KC = 0. 74 and OA = 0. 92 for Alexandridis et al., 2008) with the observed fire than the other applied cellular automation models.

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APA: Copy

Alhaj khalaf, M.W., SHATAEE, SH., & JAHDI, R.. (2021). Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 28(4 (82)), 351-369. SID. https://sid.ir/paper/390311/en

Vancouver: Copy

Alhaj khalaf M.W., SHATAEE SH., JAHDI R.. Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2021;28(4 (82)):351-369. Available from: https://sid.ir/paper/390311/en

IEEE: Copy

M.W. Alhaj khalaf, SH. SHATAEE, and R. JAHDI, “Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread,” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 28, no. 4 (82), pp. 351–369, 2021, [Online]. Available: https://sid.ir/paper/390311/en

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