Using multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements

Using multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements

Fire radiative power (FRP), which represents the instantaneous rate of radiative energy emitted by fires, has been successfully used to characterize fire events. A widely used FRP retrieval method is based on the midwave infrared (∼4 μm) radiance difference between the fire pixel and the background....

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Bibliographic Details
Main Authors: Yingxin Gu, Ivan Csiszar, Marina Tsidulko, Wei Guo
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
METImage
VIIRS
Machine learning (ML)
Regression tree (RT) model
Multispectral information
Fire radiative power (FRP)
Online Access:http://www.sciencedirect.com/science/article/pii/S157495412500367X
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