Terrestrial Laser Scanning for Forest Inventories—Tree Diameter Distribution and Scanner Location Impact on Occlusion
Open Access
- 26 May 2017
- Vol. 8 (6), 184
- https://doi.org/10.3390/f8060184
Abstract
The rapid development of portable terrestrial laser scanning (TLS) devices in recent years has led to increased attention to their applicability for forest inventories, especially where direct measurements are very expensive or nearly impossible. However, in terms of precision and reproducibility, there are still some pending questions. In this study, we investigate the influence of stand parameters on the TLS-related visibility in forest plots. We derived 2740 stand parameters from Swiss national forest inventory sample plots. Based on these parameters, we defined virtual scenes of the forest plots with the software “Blender”. Using Blender’s ray-tracing features, we assessed the 3D coverage in a cubic space and 2D visibility properties for each of the virtual plots with different scanner placement schemes. We provide a formula to calculate the maximum number of possible hits for any object size at any distance from a scanner with any resolution. Additionally, we show that the Weibull scale parameter describing a stand, in addition to the number of trees and the mean diameter of the dominant 100 trees per hectare, has a significant and relevant influence on the visibility of the sample plot. Furthermore, we show the effectiveness and the efficiency of 40 scanner location patterns. These experiments demonstrate that intuitively distributing scanner locations evenly within the sample plot, with similar distances between locations and from the edge of the sample plot, provides the best overall visibility of the stand.Keywords
This publication has 29 references indexed in Scilit:
- Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®)Remote Sensing of Environment, 2013
- Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision LevelsSensors, 2013
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner DataRemote Sensing, 2013
- A fine-scale architectural model of trees to enhance LiDAR-derived measurements of forest canopy structureAgricultural and Forest Meteorology, 2012
- A simple technique for co-registration of terrestrial LiDAR observations for forestry applicationsRemote Sensing Letters, 2012
- Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidarRemote Sensing of Environment, 2011
- Ecological information from spatial patterns of plants: insights from point process theoryJournal of Ecology, 2009
- Automatic forest inventory parameter determination from terrestrial laser scanner dataInternational Journal of Remote Sensing, 2008
- Simulation study for finding optimal lidar acquisition parameters for forest height retrievalForest Ecology and Management, 2005
- Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing treesScandinavian Journal of Forest Research, 2004