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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.
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Organizations and authors

VTT Technical Research Centre of Finland Ltd

Ahola Jari M.

Tenhunen Jussi

Raitila Jyrki

Heikkilä Tapio Orcid -palvelun logo

Sipola Teemu

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Volume

78

Issue

3

Article number

79

​Publication forum

51221

​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