Skip to main content

Characterization of individual tree crowns using three-dimensional shape signatures derived from LiDAR data

Buy Article:

$60.90 plus tax (Refund Policy)

Abstract:

Three-dimensional (3D) shape signatures based on the distance distribution of random point pairs are introduced and the effectiveness evaluated using computer simulations and samples of oak and Douglas fir crowns selected from Light Detection and Ranging (LiDAR) point clouds and Digital Surface Models (DSMs). The results suggest that comparison of 3D crown shapes can be effectively reduced to the comparison of frequency distributions of distances between random points, and that it is more computationally efficient when shape signatures are derived from raster surfaces. The results also suggest that the statistically based 3D shape signatures are relatively insensitive to noise and other small local variations, which is important for crown shape analysis in real-world environments.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160903140761

Affiliations: Department of Geography, University of North Texas, Denton, TX, USA

Publication date: January 1, 2009

More about this publication?
tandf/tres/2009/00000030/00000024/art00016
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more