Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery

Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery

Wildfires present a significant threat to ecosystems and human life, requiring effective prevention and response strategies. Equally important is the study of post-fire damages, specifically burnt areas, which can provide valuable insights. This research focuses on the detection and classification o...

Full description

Bibliographic Details
Main Authors: Tomás Simes, Luís Pádua, Alexandra Moutinho
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
burnt classification
burn severity
unmanned aerial vehicles
random forest
support vector machine
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/1/30

Internet

https://www.mdpi.com/2072-4292/16/1/30

Similar Items