Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA

Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA

Light detection and ranging (Lidar) data can be used to create wall-to-wall forest structure and fuel products that are required for wildfire behavior simulation models. We know that Lidar-derived forest parameters have a non-negligible error associated with them, yet we do not know how this error i...

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Bibliographic Details
Main Authors: Maggi Kelly, Yanjun Su, Stefania Di Tommaso, Danny L. Fry, Brandon M. Collins, Scott L. Stephens, Qinghua Guo
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Remote Sensing
Subjects:
wildfire burn probability
crown fire
forest fuels
Sierra Nevada
Lidar
error
Online Access:https://www.mdpi.com/2072-4292/10/1/10

Internet

https://www.mdpi.com/2072-4292/10/1/10

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