Paper Info
Title
The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots
Abstract
This paper evaluated the feasibility of a terrestrial point cloud generated utilizing an uncalibrated hand-held consumer camera at a plot level and measuring the plot at an individual-tree level. Individual tree stems in the plot were detected and modeled from the image-based point cloud, and the diameter-at-breast-height (DBH) of each tree was estimated. The detected-results were compared with field measurements and with those derived from the single-scan terrestrial laser scanning (TLS) data. The experiment showed that the mapping accuracy was 88% and the root mean squared error of DBH estimates of individual trees was 2.39 cm, which is acceptable for practical applications and was similar to the results achieved using TLS. The main advantages of the image-based point cloud data lie in the low cost of the equipment required for the data collection, the simple and fast field measurements and the automated data processing, which may be interesting and important for certain applications, such as field inventories by landowners who do not have supports from external experts. The disadvantages of the image-based point cloud data include the limited capability of mapping small trees and complex forest stands.
Year
DOI
Venue
2014
10.3390/rs6076587
REMOTE SENSING
Keywords
Field
DocType
forestry,individual tree level,image-based point cloud,laser scanning,terrestrial,hand-held camera
Data collection,Computer vision,3d mapping,Automated data processing,Laser scanning,Remote sensing,Mean squared error,Artificial intelligence,Terrestrial laser scanning,Point cloud,Geology
Journal
Volume
Issue
Citations 
6
7
11
PageRank 
References 
Authors
0.77
5
7
Name
Order
Citations
PageRank
Xinlian Liang119323.72
Anttoni Jaakkola234430.30
Yunsheng Wang3545.41
Juha Hyyppa437745.75
Eija Honkavaara522027.92
Jingbin Liu617422.22
Harri Kaartinen760863.10