Skip to main content
padlock icon - secure page this page is secure

Prediction and simulation of Malaysian forest fires by random spread

Buy Article:

$61.00 + tax (Refund Policy)

This paper aims to study forest fires from risk maps and satellite data in order to predict the location of the burnt zones they provoke. The approach is based on the discrete stochastic model of a random spread, which describes both fire fronts and burnt areas. Under iteration, it provides the time evolution of the process. The probabilities of spontaneous extinction at each stage are derived. The random spread model is then applied to analyse the fires that occurred in the State of Selangor (Malaysia) from 2001 to 2004. It is used, first, to simulate forest fires, according to a law of intensity (fuel combustion) and another of extension (spread rate). But the next, and more important, result lies in the ability of the model to predict all places where burnt scars actually occurred, which turns out to be a significant verification.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Earth Observation Centre, Faculty of Geography, Universiti Kebangsaan Malaysia, Bangi, Malaysia 2: Universite Paris-Est, Laboratoire d'Informatique Gaspard Monge, Equipe A3SI, ESIEE Paris, France

Publication date: July 1, 2010

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more