A Bayesian network model for prediction and analysis of possible forest fire causes

Author:

Sevinc Volkan,Kucuk Omer,Goltas Merih

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference59 articles.

1. Alonso-Betanzos, A., Fontenla-Romero, O., Guijarro-Berdiñas, B., Hernández-Pereira, E., Canda, J., Jimenez, E., Legido J. L., Muniz, S., Paz-Andrade C., Paz-Andrade, M. I., 2002. A neural network approach for forestal fire risk estimation. In: Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, pp. 643–647.

2. Modeling surface fuels moisture content in Pinus brutia stands;Bilgili;J. For. Res.,2019

3. Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey;Bilgili;iForest Biogeosci. For.,2019

4. Land use and topography influences on wildfire occurrence in northern Portugal;Carmo;Landscape Urban Plann.,2011

5. Modelling the probability of lightning-induced forest fire occurrence in the province of León (NW Spain);Castedo-Dorado;For. Syst.,2011

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