A New Fire Danger Index Developed by Random Forest Analysis of Remote Sensing Derived Fire Sizes

A New Fire Danger Index Developed by Random Forest Analysis of Remote Sensing Derived Fire Sizes

Studies using remote sensing data for fire danger prediction have primarily relied on fire ignitions data to develop fire danger indices (FDIs). However, these data may only represent conditions suitable for ignition but may not represent fire danger conditions causing escalating fire size. The fire...

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Bibliographic Details
Main Authors: Sami Ullah Shah, Marta Yebra, Albert I. J. M. Van Dijk, Geoffrey J. Cary
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Fire
Subjects:
remote sensing
burned area
fire danger index
fire danger modeling
random forest
fire sizes
Online Access:https://www.mdpi.com/2571-6255/5/5/152

Internet

https://www.mdpi.com/2571-6255/5/5/152

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