Are the new gridded DSM/DTMs of the Piemonte Region (Italy) proper for forestry? A fast and simple approach for a posteriori metric assessment

Aerial LiDAR (Light Detection and Ranging) derived data are widely adopted for the study and characterization of forests. In particular, LiDAR derived-CHM (Canopy Height Model) has proved essential in identifying tree height variability and estimating many forest features such as biomass and wood vo...

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Bibliographic Details
Main Authors: Borgogno Mondino E, Fissore V, Lessio A, Motta R
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2016-12-01
Series:iForest - Biogeosciences and Forestry
Subjects:
ALS
CHM
Online Access:https://iforest.sisef.org/contents/?id=ifor1992-009