4.4 Article

Tree stem volume estimation from terrestrial LiDAR point cloud by unwrapping

Journal

CANADIAN JOURNAL OF FOREST RESEARCH
Volume 53, Issue 2, Pages 60-70

Publisher

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cjfr-2022-0153

Keywords

volume estimation; stem volume; LiDAR; QSM; voxelization

Categories

Ask authors/readers for more resources

This paper presents a new method using LiDAR technology, called the unwrapping method, for estimating the volume of standing trees. It provides accurate volume estimates of tree stems and detailed images. Comparison with volume estimates derived from other formulas suggests that the unwrapping method has comparable accuracy.
Estimating the volume of standing trees is a fundamental concern in forestry and is typically accomplished using one or more measurements of stem diameter along with formulae that assume geometric primitives. In contrast, technologies such as terrestrial Light Detection And Ranging (LiDAR) can record very detailed spatial information on the actual surface of an object, such as a tree bole. We present a method using LiDAR that provides accurate volume estimates of tree stems, as well as 2D rasters that display details of stem surfaces, which we call the unwrapping method. This method combines the concepts of cylinder fitting, voxelization, and digital elevation models. The method is illustrated and tested using a sample of standing trees, whereby we are able to generate accurate volume estimates from the point cloud, as well as accurate visualization of the scanned stem sections. When compared to volume estimates derived from Huber's, Smalian's, and Newton's formulae, the differences are consistent with previous studies comparing formula-derived volume estimates and water-displacement-derived volume estimates, suggesting the unwrapping method has comparable accuracy to water displacement.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available