Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over <i>P. radiata</i> Data from a Region North of Spain

Estimation of forestry aboveground biomass (AGB) by means of aerial Light Detection and Ranging (LiDAR) data uses high-density point sampling data obtained in dedicated flights, which are often too costly for available research budgets. In this paper we exploit already existing public low-density Li...

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Bibliographic Details
Main Authors: Leyre-Torre Tojal, Aitor Bastarrika, Brian Barrett, Javier Maria Sanchez Espeso, Jose Manuel Lopez-Guede, Manuel Graña
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/10/9/819