Supervised Segmentation of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees

Supervised Segmentation of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees

We applied a supervised individual-tree segmentation algorithm to ultra-high-density drone lidar in a temperate mountain forest in the southern Czech Republic. We compared the number of trees correctly segmented, stem diameter at breast height (DBH), and tree height from drone-lidar segmentations to...

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Bibliographic Details
Main Authors: Martin Krůček, Kamil Král, KC Cushman, Azim Missarov, James R. Kellner
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
aboveground biomass
carbon
laser scanning
object-based
population
remote sensing
Online Access:https://www.mdpi.com/2072-4292/12/19/3260

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