Document Type
Article
Publication Date
2-2023
Department
College of Forest Resources and Environmental Science
Abstract
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.
Publication Title
Canadian Journal of Forest Research
Recommended Citation
An, Z.,
&
Froese, R.
(2023).
Tree stem volume estimation from terrestrial lidar point cloud by unwrapping.
Canadian Journal of Forest Research,
53(2), 60-70.
http://doi.org/10.1139/cjfr-2022-0153
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/17011
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2022 The Author(s). Publisher’s version of record: https://doi.org/10.1139/cjfr-2022-0153