Automatic tree parameter extraction by a Mobile LiDAR System in an urban context.

ABSTRACT: In an urban context, tree data are used in city planning, in locating hazardous trees and in environmental monitoring. This study focuses on developing an innovative methodology to automatically estimate the most relevant individual structural parameters of urban trees sampled by a Mobile LiDAR System at city level. These parameters include the Diameter at Breast Height (DBH), which was estimated by circle fitting of the points belonging to different height bins using RANSAC. In the case of non-circular trees, DBH is calculated by the maximum distance between extreme points. Tree sizes were extracted through a connectivity analysis. Crown Base Height, defined as the length until the bottom of the live crown, was calculated by voxelization techniques. For estimating Canopy Volume, procedure

SUBMITTER: Herrero-Huerta M 

PROVIDER: S-EPMC5915274 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature