Machine learning, statistical data processing and applications using signal processing
(e.g. speech, image, video)
Artificial Intelligence & Decision support
ENGINEERING AND TECHNOLOGY
Electrical engineering, Electronic engineering, Information engineering
Forest fires cause widespread destruction, altering vegetation and land globally,
leaving lasting impacts. This study focuses on modeling vegetation recovery in the
Zagros forests of western Iran post wildfires, using climatic and environmental factors.
The study employs Landsat images to gauge vegetation cover and burn severity, using
regression techniques to estimate environmental variables. Several machine learning
methods are applied for modeling. Results demonstrate the superior precision and accuracy
of the gradient boosting method in reconstructing post-fire vegetation recovery processes.
