A forest fire prediction model based on cellular automata and machine learning

X Sun, N Li, D Chen, G Chen, C Sun, M Shi… - IEEe …, 2024 - ieeexplore.ieee.org
Forest fires constitute a widespread and impactful natural disaster, annually ravaging
millions of hectares of forests and posing a severe threat to human life and property …

Providing a method based on cellular automata for modeling the forest fire development in Golestan national park forests

P Pahlavani, H Sahraiian, B Bigdeli - Forest Research and …, 2020 - jfrd.urmia.ac.ir
In the present study, firstly, the effective factors of Golestan national park forests fire have
been identified. Then, by using these factors, forest fire development modeling is performed …

Modeling occurrence and the spread of forest fire using cellular automata approach (Case Study: Arasbaran protected area)

M Maleki, L Malekani… - Journal of Natural …, 2020 - jne.ut.ac.ir
Each year fire damages the natural environment remarkably. Cellular automata is a way of
modeling and simulating processes in the real world. We can take precautionary steps …

Comparative study of basic and Bee Colony-optimized models cellular automation for prediction of wildfire spread.

S Shataee, R Jahdi - Iranian Journal of Forest & Poplar …, 2021 - search.ebscohost.com
As one of the most widely used models for fire spread simulation, cellular automata models
commonly require appropriate parameters and the optimized coefficients. The main aim of …

Presenting a Morphological Based Approach for Filtering The Point Cloud to Extract the Digital Terrain Model

P Pahlavani, HR Sahraiian, B Bigdeli - Engineering Journal of …, 2019 - jgit.kntu.ac.ir
The Digital terrain model is an important geospatial product used as the basis of many
practical projects related to geospatial information. Nowadays, a dense point cloud can be …