Estimation of breast height diameter and trunk curvature with linear and single-photon LiDARs
Year of publication
2021
Authors
Ahola, Jari M.; Heikkilä, Tapio; Raitila, Jyrki; Sipola, Teemu; Tenhunen, Jussi
Abstract
<b>Key message</b><br/>New technologies can take us towards real precision forestry: the terrestrial single-photon avalanche diode (SPAD) light detection and ranging (LiDAR) has a great potential to outperform conventional linear mode LiDARs in<br/>measuring tree parameters at the stand level.<br/><b>Context </b><br/>Precision forestry together with new sensor technologies implies Digital Forest Inventories for estimation of volume and quality of trees in a stand.<br/><b>Aims </b><br/>This study compared commercial LiDAR, new prototype SPAD LiDAR, and manual methods for measuring tree quality attributes, i.e., diameter at breast height (DBH) and trunk curvature in the forest stand.<br/><b>Methods </b><br/>We measured 7 Scots pine trees (Pinus sylvestris) with commercial LiDAR (Zeb Horizon by GeoSLAM), prototype SPAD LiDAR, and manual devices. We compared manual measurements to the DBH and curvature values estimated based on LiDAR data. We also scanned a densely branched Picea abies to compare penetrability of the LiDARs and detectability of the obstructed trunk.<br/><b>Results </b><br/>The DBH values deviated 1–3 cm correlating to the specifed accuracies of the employed devices, showing close to acceptable results. The curvature values deviated 1–6 cm implying distorted range measurements from the top part of the<br/>trunks and inaccurate manual measurement method, leaving space for improvement. The most important fnding was that the SPAD LiDAR outperformed conventional LiDAR in detecting tree stem of the densely branched spruce.<br/><b>Conclusion </b><br/>These results represent preliminary but clear evidence that LiDAR technologies are already close to acceptable level in DBH measurements, but not yet satisfactory for curvature measurements. In addition, terrestrial SPAD LiDAR has a great potential to outperform conventional LiDARs in forest measurements of densely branched trees.
Show moreOrganizations and authors
VTT Technical Research Centre of Finland Ltd
Ahola Jari M.
Tenhunen Jussi
Raitila Jyrki
Sipola Teemu
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal/Series
Volume
78
Issue
3
Article number
79
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
License of the publisher’s version
CC BY
Self-archived
No
Other information
Fields of science
Environmental sciences; Ecology, evolutionary biology; Forestry
Keywords
[object Object],[object Object]
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1007/s13595-021-01100-0
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes