Fuel Modelling Characterisation Using Low-Density LiDAR in the Mediterranean: An Application to a Natural Protected Area

Fuel Modelling Characterisation Using Low-Density LiDAR in the Mediterranean: An Application to a Natural Protected Area

Fuel structure and characteristics are important to better understand and predict wildfire behaviour. The aim of the present study was to develop a methodology for characterising fuel models using low-density and free LiDAR data that facilitate the work of managers of protected territories. Field in...

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Bibliographic Details
Main Authors: Aurora Ferrer Palomino, Francisco Rodríguez y Silva
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Forests
Subjects:
fuel models
remote sensing
multiple regression
mixed stands
Online Access:https://www.mdpi.com/1999-4907/12/8/1011

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