Evaluation performances of different forest fire spread models using cellular automata (case study: The forests of Lakan district in Rasht)
Accurate prediction of forest fire spread is crucial in minimizing its destructive effects. Forest fire depends on various factors e.g. topography, vegetation and climate. One of the challenges in modeling forest fire concerns the way it interacts with static and dynamic spatiotemporal trajectories...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Research Institute of Forests and Rangelands of Iran
2015-03-01
|
| Series: | تحقیقات جنگل و صنوبر ایران |
| Subjects: | |
| Online Access: | http://ijfpr.areeo.ac.ir/article_102359_d8bac8933ed7ca0063ad807b7bef9bf8.pdf |