Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management

Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management

Monitoring the fuel moisture content (FMC) of 10 h dead vegetation is crucial for managing and mitigating the impact of wildland fires. The combination of in situ FMC observations, numerical weather prediction (NWP) models, and satellite retrievals has facilitated the development of machine learning...

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Bibliographic Details
Main Authors: John S. Schreck, William Petzke, Pedro A. Jiménez, Thomas Brummet, Jason C. Knievel, Eric James, Branko Kosović, David John Gagne
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
fuel moisture content
10 h dead vegetation
machine learning models
wildland fires
VIIRS retrievals
Online Access:https://www.mdpi.com/2072-4292/15/13/3372

Internet

https://www.mdpi.com/2072-4292/15/13/3372

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