Predicting tree species based on the geometry and intensity of aerial laser scanning point cloud of treetops

Predicting tree species based on the geometry and intensity of aerial laser scanning point cloud of treetops

Based on the laser point clouds of 240 individual trees that were also identified in the field, we developed decision trees to distinguish deciduous and coniferous trees and individual tree species: Picea abies, Larix decidua, Pinus sylvestris, Fagus sylvatica, Acer pseudoplatanus, Fraxinus excelsio...

Full description

Bibliographic Details
Main Authors: Nina Kranjec, Mihaela Triglav Čekada, Milan Kobal
Format: Article
Language:English
Published: Association of Surveyors of Slovenia (Zveza geodetov Slovenije) 2021-06-01
Series:Geodetski Vestnik
Subjects:
lidar
intensity
the geometry of tree
tree species
machine learning
decision tree
Online Access:http://www.geodetski-vestnik.com/65/2/gv65-2_kranjec.pdf

Similar Items

Similar Items