Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

Burned area (BA) mapping of a forest after a fire is required for its management and the determination of the impacts on ecosystems. Different remote sensing sensors and their combinations have been used due to their individual limitations for accurate BA mapping. This study analyzes the contributio...

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Bibliographic Details
Main Authors: Saygin Abdikan, Caglar Bayik, Aliihsan Sekertekin, Filiz Bektas Balcik, Sadra Karimzadeh, Masashi Matsuoka, Fusun Balik Sanli
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Forests
Subjects:
forest fire
multi-sensor
random forest
Landsat-8
Sentinel-2
Sentinel-1
Online Access:https://www.mdpi.com/1999-4907/13/2/347

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