Comparative study of machine learning methods for mapping forest fire areas using Sentinel-1B and 2A imagery

Comparative study of machine learning methods for mapping forest fire areas using Sentinel-1B and 2A imagery

The study focuses on identifying fireburning and burnt areas in a large-scale forest fire that occurred in Xintian County, China, in October 2022. To investigate the adaptability of machine learning methods in various scenarios for mapping forest fire areas, this study presents a comparative study o...

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Bibliographic Details
Main Authors: Xinbao Chen, Yaohui Zhang, Shan Wang, Zecheng Zhao, Chang Liu, Junjun Wen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Remote Sensing
Subjects:
comparative study
forest fire
machine learning
Sentinel-1B/2A
classification
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2024.1446641/full
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