Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
The increasing frequency and intensity of wildfires highlight the need to develop more efficient tools for firefighting and management, particularly in the field of wildfire spread prediction. Classical wildfire spread models have relied on mathematical and empirical approaches, which have trouble c...
Saved in:
| Main Authors: | Henintsoa S. Andrianarivony, Moulay A. Akhloufi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/7/12/482 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LinU-Mamba: Visual Mamba U-Net with Linear Attention to Predict Wildfire Spread
by: Henintsoa S. Andrianarivony, et al.
Published: (2025-08-01) -
Advancing wildfire prediction in Nepal using machine learning algorithms
by: Saugat Sapkota, et al.
Published: (2025-01-01) -
Modeling of Wildfire Digital Twin: Research Progress in Detection, Simulation, and Prediction Techniques
by: Yuting Huang, et al.
Published: (2024-11-01) -
An improved machine-learning model for lightning-ignited wildfire prediction in Texas
by: Qi Zhang, et al.
Published: (2025-01-01) -
Fire spread simulations using Cell2Fire on synthetic and real landscapes
by: Minho Kim, et al.
Published: (2025-07-01)