. Kn, B. Abbott, G. C. Leblon, D. A. Staples, M. E. Mclean et al., Fire Danger Monitoring using RADASAT1 over Northern Boreal Forests, International Journal of Remote Sensing, vol.28, issue.6, pp.1317-1378, 2007.

. Cc, . Hardy, C. E. And, and . Hardy, Fire danger rating in the United States of America: an evolution since 1916, International Journal of Wildland Fire, vol.16, pp.217-240, 2007.

P. Good, M. Moriondo, C. Giannakopoulos, and M. Bindi, The meteorological conditions associated with extreme fire risk in Italy and Greece: relevance to climate model studies, International Journal of Wildland Fire, vol.17, pp.155-165, 2008.

P. M. Fernandes, Fire spread prediction in shrub fuels in Portugal, Forest Ecology and Management, vol.144, pp.67-74, 2001.

M. Bisquert, J. M. Sánchez, and V. Caselles, Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images, Remote Sensing journal, vol.6, issue.1, pp.540-554, 2014.

A. Alexander, S. E. Chris, and V. Harald, Selecting the best performing fire weather indices for Austrian ecoregions, TheorApplClimatol, vol.114, pp.393-406, 2013.

S. Donatella, B. Valentina, S. Michele, and S. Costantino, Fire Behaviour modeling, Project EU Italia-FranciaMarittimo, pp.200-218, 2007.

M. Martin, T. Miroslav, B. Daniel, P. Vera, and H. Petrandz, , pp.19-25, 2015.

A. Betanzos, O. Romero, B. Berdin?as, E. Pereira, M. Inmaculada et al., An intelligent system for forest fire risk prediction and fire Fighting management in Galicia, Journal of Expert Systems with Applications, pp.545-554, 2003.

I. Sitanggang, R. Yaakob, N. Mustapha, and A. Ainuddin, Application of classification algorithms in data mining for hotspots occurrence prediction in Riau province Indonesia, Journal of Theoretical and Applied Information Technology, vol.43, issue.2, 2012.

L. Iliadis, A. Papastavrou, and P. Lefakis, A heuristic expert system for forest fire guidance in Greece, J Environ Manage, pp.327-363, 2002.

Z. Jing, M. Weiqing, and Z. Ye, Fisher Linear Discriminant Method for Forest Fire Risk Points on Transmission Line, International Journal of Smart Home, vol.9, pp.25-34, 2015.

G. Sakr, I. Elhajj, G. Mitri, and U. Wejinya, Artificial Intelligence for Forest Fire Prediction, International Conference on Advanced Intelligent Mechatronics Montréal, pp.1311-1316, 2010.

. Sj, P. L. Pyne, R. D. Andrews, and . Laven, Introduction to wildland fire, p.769, 1996.

. Np, A. J. Gillett, F. W. Weaver, M. D. Zwiers, and . Flannigan, Detecting the effect of climate change on Canadian forest fires, Geophys Res Lett, vol.31, pp.182-189, 2004.

M. Galanter, I. Levy, and G. Carmichael, Impacts of biomass burning on tropospheric CO, NOx, and O3, Journal of Geophysical Research: Atmospheres, vol.105, pp.6633-6653

H. Winkler, P. Formenti, D. J. Esterhuyse, R. J. Swap, G. Helas et al., Evidence for large-scale transport of biomass burning aerosols from sun photometry at a remote South African site, Atmospheric Environment, vol.42, pp.5569-5578, 2008.

. Heim, A review of twentieth-century drought indices used in the United States, vol.83, pp.1149-1165, 2002.

D. Spano, P. Duce, R. L. Snyder, P. Zara, and A. Ventura, Assessment of fuel dryness index on Mediterranean vegetation, Proceedings of the 6th Symposium on Fire and Forest Meteorology, 2005.

G. Buchholzand and D. Weidemann, The use of simple fire danger rating system as a tool for early warming in forestry, International Forest Fire News, vol.23, pp.32-36, 2000.

P. Morgan, C. Hardy, T. Swetnam, M. G. Rollins, and D. G. Long, Mapping fire regimes across time and space, International Journal of Wildland Fire, vol.10, pp.329-342, 2001.

. Wc, E. A. Bessie, and . Johnson, The relative importance of fuels and weather on fire behavior in subalpine forests, Ecology journal, vol.76, pp.747-762, 1995.

P. Johnston, G. Milne, and D. Klemitz, Overview of bushfire spread simulation systems, BUSHFIRE CRC Project B6, vol.3, 2005.

W. Baker and K. Kipfmueller, Spatial Ecology of Pre-Euro-American Fires in a Southern Rocky Mountain Subalpine Forest Landscape, Professional Geographer, vol.53, pp.248-262, 2001.

. Kr, M. D. Anderson, G. Flannigan, and . Reuter, Using ensemble techniques in fire-growth modelling in: 6th Symp. on Fire and Forest Meteorology, vol.2, pp.24-27, 2005.

. Pz, T. Fule, M. Crouse, W. Heinlein, W. Moore et al., Mixedseverity fire regime in a high-elevation forest of Grand Canyon, Landscape Ecology, vol.18, pp.465-486, 2003.

M. Turner and W. Romme, Landscape dynamics in crown fire ecosystems, Landscape Ecology, vol.9, pp.59-77, 1995.

A. Zachary, W. Holden, and M. Jolly, Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support, 2011.

. Nj, M. W. Sanders, W. Jarrod, and . Diane, Patterns of ant species richness along elevational gradients in an arid ecosystem, Global Ecology and Biogeography, vol.12, pp.93-102, 2003.

J. H. Scott, T. Reinhard, and D. Elizabeth, Assessing crown fire potential by linking models of surface and crown fire behavior, Res. Pap. RMRS-RP, vol.29, pp.59-62, 2001.

. He and . Anderson, Predicting wind-driven wildland fire size and shape, USDA Forest Service Research Paper INT-305, 1983.

J. Glasa and H. Ladislav, On elliptical model for forest fire spread modeling and simulation, Mathematics and Computers in Simulation, vol.78, pp.76-88, 2008.

C. V. Wagner, Prediction of crown fire behavior in stands, Proceedings at the 10th Conference on Fire and Forest Meteorology, pp.207-220, 1989.

. Dg and . Green, Shapes of similar fires in discrete fuels, Ecological Modelling, vol.20, pp.21-32, 1983.

. Gd and . Richards, The properties of elliptical wildfire growth for time dependent fuel and meteorological conditions, Combustion Science echnology, vol.92, pp.145-170, 1983.

. Grabner, Using Behave as a prescribed fire planning tool in maintaining oak savannahs, 1999.

M. Alexannder, fire Behavior as a Factor in forest and Rural Fire Suppression, Forest Research, Rotorua in association with the National Rural Fire Authority, vol.30, 2000.

. Aa, K. P. Brown, and . Davis, Forest fire: control and use, 1973.

. Rh, A. G. Luke, and . Mcarthur, Bush fires in Australia, Australian Govt. Pub. Serv, 1978.

. Np and . Cheney, In: Fire and the Australian biota, I.R. Noble.Australian Acad. Sci, pp.151-175, 1981.

A. G. Mcarthur, Fire Behavior in Eucalypt Forests, Ninth Common wealth Forestry Conference, vol.107, 1986.

. Rc-rothermel, How to predict the spread and intensity of forest and range fires, USDA Forest Service, 1983.

, Principle of Fire Behavior, compact disk, Environment training center, 1993.

. Re, W. F. Martin, . W. David, L. M. Frewing, and . James, Average biomass of four Northwest shrubs by fuel size class and crown cover, USDA, For. Serv. Res. Note PNW-74, vol.6, 1981.

T. Beer, Bushfire rate of spread forecasting: deterministic and statistical approaches to fire modeling, Journal of Forecasting, vol.10, pp.301-307, 1991.
DOI : 10.1002/for.3980100306

. Ro and . Weber, Modelling fire spread through fuelbeds, Progress in Energy and Combustion Science, vol.17, pp.67-82, 1991.

. Wl and . Fons, Analysis of fire spread in light forest fuels, J Agric Res, vol.194, issue.3, pp.93-121

G. M. Byram, Combustion of forest fuels, Forest fire: control and use, pp.61-89, 1959.

A. G. Mcarthur, Weather and grassland fire behavior, Comm. Aurt.For.Timb Eur. Leaflet, vol.100, 1966.

. Rc, A mathematical model for predicting fire spread in wildland fires, USDAForest Service Research Paper INT, vol.115, 1972.

. Fa, R. G. Albini, and . Baughman, Estimating windspeeds for predicting wildland fire behavior, 1979.

;. He.anderson, F. Usda, and . Service, Intermountain Forest and Range Experiment Station. Research Paper, INT-305, vol.26, 1983.

. Kg and . Hirsch, Canadian forest fire behavior prediction system: Users Guied, 1996.

J. Wearth, National Fire Danger Rating System, National Fire Danger Rating

M. Finney, FARSITE: Fire Area Simulator-User Guied and technical documentation, vol.156, 1997.
DOI : 10.2737/rmrs-rp-4

URL : https://www.fs.usda.gov/treesearch/pubs/download/4617.pdf

K. Tolhurst, B. Shields, and D. Chong, Phoenix: development and application of a bushfire risk management tool, The Australian Journal of Emergency Management, vol.23, issue.4, pp.47-54, 2008.

. Gl, A. D. Perry, I. F. Sparrow, and . Owens, A GIS-supported model for the simulation of the spatial structure of wildland fire, Journal of Applied Ecology, vol.36, issue.4, pp.502-518, 1999.

. Sh, M. E. Peterson, J. M. Morais, P. E. Carlson, D. A. Dennison et al., Using HFire for Spatial Modeling of Fire in Shrublands, USDA Forest Service, 2009.

N. Markatos, Operational system for planning and decision support in forest fire management, Gen. Tech. Rep, p.4, 2004.

. Bs, . Lee, . Me, B. C. Alexander, T. J. Hawkes et al., Information systems in support of wildland fire management decision making in Canada, Computers and Electronics in Agriculture, 2002.

. Ap, A. M. Dimitrakopoulos, . Bemmerzouk, . Id, and . Mitsopoulos, Evaluation of the Canadian fire weather index system in an eastern Mediterranean environment, vol.18, pp.83-9327, 2011.

N. Molders, Comparison of Canadian forest fire danger rating system and national fire danger rating system fire indices derived from weather research and forecasting (wrf) model data for the June 2005 interior Alaska wildfires, Atmospheric Research, vol.95, issue.2, pp.290-306, 2010.

. Hk, R. E. Preisler, J. C. Burgan, J. M. Eidenshink, R. W. Klaver et al., Forecasting distributions of large federal-lands fires utilizing satellite and gridded weather information, International Journal of Wildland Fire, vol.18, issue.5, pp.508-516, 2009.

G. Marco, G. Hille, and . Johann, Dispatching and modeling of fires in Central European pine stands: New research and development approaches in Germany, Global Fire Monitoring Center (GFMC) and Fire Ecology Research Group, 2003.

B. Arca, P. Duce, G. Pellizzarov, M. Bacciu, D. Salis et al., Evaluation of FARSITE Simulator in a Mediterranean Area, 2007.

R. Jahdi, A. A. Darvishsefat, V. Etemad, and M. A. Mostafavi, Wind Effect on Wildfire and Simulation of its Spread (Case Study: Siahkal Forest in Northern Iran), J. Agr. Sci. Tech, vol.16, pp.1109-1121, 2014.

L. Pugnet, D. M. Chong, T. J. Duff, and K. G. Tolhurst, Wildland-urban interface (WUI) fire modelling using PHOENIX Rapidfire: A case study in Cavaillon, France, 20th International Congress on Modelling and Simulation, pp.228-234, 2013.

L. George, A. Sparrow, F. Ian, and &. Owens, GIS-supported model for the simulation of the spatial structure of wildland fire, Journal of Applied Ecology, vol.36, pp.502-518, 1999.

N. Markatos, V. Vescoukis, C. Kiranoudis, and P. Balatsos, Towards an integrated system for planning and decision support in forest fire management, 2007.

M. Morais, Comparing spatially explicit models of fire spread through chaparral fuels": a new algorithm based upon the Rothermel fire spread equation. Thesis, 2001.

. Re, A. S. Clark, S. Hope, D. Tarantola, P. E. Gatelli et al., Sensitivity AnalysisofaFire Spread Model in a Chaparral Landscape, vol.4, issue.1, pp.1-13, 2008.

B. Nader, J. Filippi, and P. Bisgambiglia, An experimental frame for the simulation of forest fire spread, IEEE Xplore, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00667401

. Mc, C. Rochoux, S. Emery, B. Ricci, A. Cuenot et al., Towards predictive simulation of wildfire spread at regional scaleusing ensemble-based data assimilation to correct the fire frontposition, 2014.

, IGNIS National Exercise, issue.1, 2016.

. Ra and . Wilson, Observations of extinction and marginal burning states in free burning porous fuel beds, Cornbust, Sci. and Tech, vol.44, pp.179-193, 1985.

F. Paul, Molecular size distribution in three dimensional polymers. I. gelation1, Journal of the American Chemical Society, vol.63, issue.11, pp.3083-3090, 1941.

H. Kesten, The critical probability of bond percolation on the square lattice equals 1/2, Commun. Math.Phys, vol.74, pp.41-59, 1980.

G. Caldarelli, R. Frondoni, A. Gabrielli, M. Montuori, R. Retzlaff et al., Percolation in real wildfires, Europhysics Letters, vol.56, issue.4, pp.510-516, 2001.

J. Nahmias, H. Tephany, J. Duarte, and . Letaconnoux, Fire spreading experiments on heterogeneous fuel beds", applications of percolation theory, Canadian Journal of Forest Research, vol.30, issue.8, pp.1318-1328, 2000.

A. Simeoni, P. Salinesi, and F. Morandini, Physical modelling of forest fire spreading through heterogeneous fuel beds, International Journal of Wildland Fire, vol.20, issue.5, pp.625-632, 2011.

A. Hunt, A New Conceptual Model for Forest Fires Based on Percolation Theory, Wiley online library, vol.13, pp.12-17, 2007.

C. Hernandez, P. Drobinski, S. Turquety, and J. L. Dupuy, Size of wildfires in the EuroMediterranean region: observations and theoretical analysis, Nat. Hazards Earth SystSci, vol.15, pp.1331-1341, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01226536

E. Pastor, L. Zarate, E. Planas, and J. Arnaldos, Mathematical Models and Calculation Systems for the Study of Wildland Fire Behaviour, Progress in Energy and Combustion Science, vol.29, pp.139-153, 2003.

R. White and G. Engelen, High-resolution integrated modelling of the spatial dynamics of urban and regional systems, Comput. Environ. Urban Syst, vol.24, pp.383-400, 2000.

S. Wolfram, Appendix of Theory and Applications of Cellular Automata, 1986.

I. Benensonand and P. M. Torrens, Geo-simulation Automata-based modeling of urban phenomena, Chechester. xxiii, vol.287, 2004.

. Li, W. Xiadong, and . Magill, Modeling fire spread under environmental influence using a cellular automation approach, Complexity International, 2001.

M. Gardner, The fantastic combinations of John Conway's new solitary game of Life, Scientific American, pp.120-123, 1970.

S. Wolfram, A new kind of science, 2002.

P. Torrens, How cellular models of urban systems work (1. Theory), CASA Working Papers Series, 2005.

F. E. Moore, Machine models of self-reproduction, Proc. Sympos. Appl. Math, vol.14, pp.17-33, 1962.

G. Tzedakis, E. Tzamali, . Ko, V. Marias, and . Sakkalis, The Importance of Neighborhood Scheme Selection in Agent-based Tumor Growth Modeling, vol.14, pp.67-81, 2015.

S. Wongthanavasu and V. Tangvoraphonkchai, Cellular automata-based algorithm and its application in medical image processing, International Conference on Image Processing, 2007.
DOI : 10.1109/icip.2007.4379241

M. A. Lee and L. M. Bruce, Applying Cellular Automata to Hyper-spectral Edge Detection, IEEE, pp.2202-2205, 2010.
DOI : 10.1109/igarss.2010.5652717

L. Paul and S. Xianfang, Edge Detection Using Cellular Automata, Cellular Automata in Image Processing and Geometry, vol.10, 2014.

P. Wolfgang, S. L. Craig, H. B. Gary, . Oo, A. Exei et al., Quantum-dot cellular automata: computing with coupled quantum dots, INT.J. ELECTRONICS, vol.5, pp.549-590, 1999.

M. Tomassini and M. Perrenoud, Nonuniform Cellular Automata for Cryptography, vol.12, pp.71-81, 2000.

F. Seredy?ski, P. Bouvry, and A. Zomaya, Secret Key Cryptography with Cellular Automata, IEEE Xplore Conference Paper, 2003.

B. Kar, C. Rao, and A. Kumarrath, Generating PNS for Secret Key Cryptography Using Cellular Automaton, International Journal of Advanced Computer Science and Applications, vol.2, issue.5, 2011.

H. Situngkir, Epidemiology through cellular automata Case of Study: Avian Influenza in Indonesia, report on computational sociology research, Working Paper WPF2004, 2004.

H. White, Using Cellular Automata to Simulate Epidemic Diseases, Applied Mathematical Sciences, vol.3, issue.20, pp.959-968, 2009.

J. Cirbus and M. Podhoranyi, Cellular Automata for the Flow Simulations on the Earth Surface, Optimization Computation Process, An International Journal Applied Mathematics & Information Sciences, vol.7, issue.6, pp.2149-2158, 2013.

X. Wang and J. Ouyang, Phase-Field Simulation of Polymer Crystallization during Cooling Stage, International Journal of Chemical Engineering and Applications, vol.6, issue.1, pp.28-39, 2015.

J. Quartieri, N. Mastorakis, G. Iannone, and C. Guarnaccia, A Cellular Automata Model for Fire Spreading Prediction, pp.978-960

J. H. Conway, On numbers and games, 1976.

P. Bernard, S. Joe, A. Anne, P. Susan, and K. Laurie, Developing custom fire behavior fuel models from ecologically complex fuel structures for upper Atlantic Coastal Plain forests, Forest Ecology and Management, vol.273, pp.50-57, 2012.

K. Thonicke, A. Spessa, I. Prentice, S. Harrison, L. Dong et al., The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model, Bio-geosciences, vol.7, 1991.

F. Codd, , 1968.

R. White and G. Engelen, High-resolution integrated modelling of the spatial dynamics of urban and regional systems, Comput. Environ. Urban Syst, vol.24, pp.383-400, 2000.

M. Batty, Y. Z. Xie, and . Sun, Modeling urban dynamics through GIS based CA, Computers, Environment and Urban Systems, vol.21, pp.205-233, 1999.
DOI : 10.1016/s0198-9715(99)00015-0

C. Yin, D. Yu, H. Zhang, G. You, and . Chen, Simulation of urban growth using a CAbased model in a developing nation's region, Geo-informatics 2008 and Joint Conference on GIS and Built Environment, vol.7143, 2008.

L. Won, I. Hand, and M. Taek, CA Modeling of Grain Coarsening and Refinement during the Dynamic Re crystallization of Pure Copper, Materials Transactions, vol.51, pp.1614-1620, 2010.

H. Hakan, W. Mathias, and R. Matti, Simulation of discontinuous dynamic re-crystallization in pure Cu using a probabilistic cellular automaton, Computational Materials Science, vol.49, pp.25-34, 2010.

M. Van-schyndela, G. Wainer, R. Goldstein, J. P. Mogk, and A. Khan, On the definition of a computational fluid dynamic solver using cellular discrete-event simulation, Journal of Computational Science, vol.5, pp.882-890, 2014.

H. Balzter, P. W. Braun, and W. Köhler, CA models for vegetation dynamics, Ecol. Model, vol.107, pp.113-125, 1998.

J. Yang, Z. Wang, D. Yang, Q. Yang, J. Yan et al., Ecological risk assessment of genetically modified crops based on CA modeling, Biotechnol. Adv, vol.27, pp.1132-1136, 2009.

S. Dragicevic, Modeling the dynamics of coplex systems using cellular, fuzzy sets and GIS: Invasive species propagation, Geogr. Compass, vol.4, pp.599-615, 2014.

L. Perez and S. Dragicevic, Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based CA model, Ecol. Model, vol.231, pp.53-64, 2012.

I. Karafyllidis and A. Thanailakis, A model for prediction forest fire spreading using CA, Ecological Modeling Journal, pp.87-97, 1997.

W. Hargrove, R. Gardner, M. Turner, W. Romme, and D. Despain, Simulating fire patterns in heterogeneous landscapes, Ecological Modeling, pp.243-263, 2000.

B. Malamud and D. Turcotte, Cellular-Automata models applied to natural hazards, IEEE Computing in Science & Engineering, vol.2, issue.3, pp.42-51, 2000.
DOI : 10.1109/5992.841795

A. Sullivan and I. Knight, A hybrid CA/semi-physical model of fire growth, AsiaPacific Conference on Complex Systems, pp.64-73, 2004.

A. Alexandridis, D. Vakalis, C. Siettos, and G. V. Bafas, A CA model for forest fire spread prediction: The case of the Wildfire that swept through Spetses Island in 1990, Applied Mathematics and Computation, pp.191-201, 2008.

S. Yassemia, S. Dragicevic, and M. Shmidt, Design and implementation of an integrated GIS-based CA model to characterize forest fire behavior, Ecological modeling journal, vol.210, pp.71-84, 2008.

Z. Hui, W. Tao, and W. Daimu, Polymorphism forest fire probability CA model and its application, Journal of Fu Yang normal college (Natural Sciences), vol.27, pp.23-26, 2010.

T. Ghisu, B. Arca, G. Pellizzaro, and P. Duce, An optimal CA algorithm for simulating wildfire spread, Environmental Modelling and Software, vol.71, pp.1-14, 2015.
DOI : 10.1016/j.envsoft.2015.05.001

T. Masri, C. Khater, N. Masri, and C. Zeida, Regeneration capability and economic losses after fire in Mediterranean forests -Lebanon, Lebanese Science Journal, vol.7, issue.1, 2006.

R. Mcraei, Use of digital terrain data for calculating rates of fire spread with PREPLAN computer system, Paper presented at the Proc of the 8th biennial conference and bushfire dynamics workshop, 1989.

H. Gazmeh, A. Alesheikh, and M. Karimi, A new Methodology in Modeling ForestFire Spread Using Cellular Automata, Journal of Advanced Science and Engineering Research, vol.2, issue.4, pp.308-322, 2012.

.. E. Van-wagnerc, A simple fire growth model, 1969.

. Rc, A mathematical model for predicting fire spread in wildland fuels, USDA Forest Service, 1972.

A. H. , Predicting Wind-Driven Wildland Fire Size and Shape, 1983.

F. A. Albini and . Gen, , 1976.

F. A. Albini, Computer-based models of wildland fire behavior: a user's manual

U. S. Ogden, Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1976.

. Fa, C. H. Albini, and . Chase, Intermountain Forest and Range Experiment Station, Research Paper RP-INT-268, USDA Forest Service, 1980.

. Rd and . Mcrae, Use of digital terrain data for calculating rates of fire spread with the PREPLAN computer system, Proceedings of 8th Biennial Conference and Bushfire Dynamics Workshop, pp.579-585, 2006.

. El-hernandez, M. Hoya, A. Rey, R. Sanchez, and G. , Modeling forest fire spread using hexagonal CA, Applied Mathematical Modelling, vol.31, pp.1213-1227, 2007.

N. , R. M. Adkins, and C. , A dimensionless correlation for the spread of wind-driven fires, Canadian Journal of Forest Research, vol.18, issue.4, pp.391-397, 1989.

T. Paysen, R. J. Ansley, J. Brown, G. Gottfried, S. Haase et al., Fire in Western Shrubland, Woodland,and Grassland Ecosystems. Chapter 6, USDA Forest Service Gen. Tech. Rep.RMRS-GTR, vol.42, 2000.

A. G. Mcarthur, Fire Behaviour in Eucalypt Forests, Ninth Common wealth Forestry Conference. Leaflet No, vol.107, 1968.

A. Zachary, W. Holden, . Jolly, and . Matt, Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support, 2001.

G. Buchholz and D. Weidemann, The use of simple fire danger rating systems as a tool for early warning in forestry, Int. Forest Fire News, vol.23, pp.32-37, 2000.

I. N. Publications, A. Hamadeh, B. Hilal, P. Daya, and . Chauvet, An Analytical Review on the Most widely Used Metrological Models in Forest Fire Prediction, IEEE TAEECE2015, The Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, pp.239-244, 2015.

. N. Ii, B. Hamadeh, A. Daya, P. Hilal, U. I. Chauvet-;-london et al., Studying the Factors Affecting the Risk of Forest Fire Occurrence and Applying Neural Networks for Prediction, SAI Intelligent Systems International Conference, pp.522-526, 2015.

. N. Iv, A. Hamadeh, B. Karouni, P. Daya, and . Chauvet, Using Correlative Data Analysis to Develop Weather Index That Estimates the Risk of Forest Fires in Lebanon and Mediterranean: Assessment versus Prevalent Meteorological Indices, Case Studies in fire Safety


V. N. Hamadeh, A. Karouni, B. Daya, and P. Chauvet, A new Methodology for Spatial Simulation of Forest Fire Behavior Using Cellular Automata