Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data

Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data

Fine dead fuel load is one of the most significant components of wildfires without which ignition would fail. Several studies have previously investigated 1-h fuel load using standard fuel parameters or site-specific fuel parameters estimated ad hoc for the landscape. On the one hand, these methods...

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Bibliographic Details
Main Authors: Marina D’Este, Mario Elia, Vincenzo Giannico, Giuseppina Spano, Raffaele Lafortezza, Giovanni Sanesi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
fire management
fuel loads
LIDAR
NDVI
Random Forest
Sentinel-1
Online Access:https://www.mdpi.com/2072-4292/13/9/1658

Internet

https://www.mdpi.com/2072-4292/13/9/1658

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