Enhancing active fire detection in Sentinel 2 imagery using GLCM texture features in random forest models

Enhancing active fire detection in Sentinel 2 imagery using GLCM texture features in random forest models

Abstract The array of wildfire activities instigated by human endeavors has emerged as a significant source of atmospheric pollution, posing considerable risks to both public health and property safety. This study harnesses Sentinel-2 satellite data, employing a variety of methods including spectral...

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Bibliographic Details
Main Authors: Bao Zhou, Sha Gao, Ying Yin, Yanling Zhong
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Fire detection
Sentinel-2
Random Forest
Texture features
Online Access:https://doi.org/10.1038/s41598-024-81976-w
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https://doi.org/10.1038/s41598-024-81976-w

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