Automatic Mapping of Burned Areas Using Landsat 8 Time-Series Images in Google Earth Engine: A Case Study from Iran

Automatic Mapping of Burned Areas Using Landsat 8 Time-Series Images in Google Earth Engine: A Case Study from Iran

Due to the natural conditions and inappropriate management responses, large part of plains and forests in Iran have been burned in recent years. Given the increasing availability of open-access satellite images and open-source software packages, we developed a fast and cost-effective remote sensing...

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Bibliographic Details
Main Authors: Houri Gholamrezaie, Mahdi Hasanlou, Meisam Amani, S. Mohammad Mirmazloumi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
wildfire
remote sensing
mapping burned/unburned areas
Neural Network (NN)
Random Forest (RF)
Genetic Algorithm (GA)
Online Access:https://www.mdpi.com/2072-4292/14/24/6376

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