Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia)-Reference-Cited by-同舟云学术

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Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia)

Published:2018-09-12 Issue:9-10 Volume:32 Page:882-906
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Toujani Ahmed¹²,Achour Hammadi¹³,Faïz Sami²

Affiliation:

1. LRSP Laboratory, Silvo-Pastoral Institute of Tabarka, University of Jendouba, Jendouba, Tunisia

2. LTSIRS Laboratory, National Engineering School, University of Tunis El Manar, Tunis, Tunisia

3. Unity of Geomatics and Geosystems, University of Mannouba, Tunis, Tunisia

Funder

laboratory of Silvo-pastoral resources

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2018.1514808

Reference58 articles.

1. Markov-switching autoregressive models for wind time series

2. Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests

3. Application of artificial neural networks and logistic regression to the prediction of forest fire danger in Galicia using MODIS data

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