LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest

LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest

Accurate canopy base height (CBH) information is essential for forest and fire managers since it constitutes a key indicator of seedling growth, wood quality and forest health as well as a necessary input in fire behavior prediction systems such as FARSITE, FlamMap and BEHAVE. The present study focu...

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Bibliographic Details
Main Authors: Alexandra Stefanidou, Ioannis Z. Gitas, Lauri Korhonen, Dimitris Stavrakoudis, Nikos Georgopoulos
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
canopy base height
LiDAR
voxel-based
regression analysis
Online Access:https://www.mdpi.com/2072-4292/12/10/1565

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