Estimation of breast height diameter and trunk curvature with linear and single-photon LiDARs
Publiceringsår
2021
Upphovspersoner
Ahola, Jari M.; Heikkilä, Tapio; Raitila, Jyrki; Sipola, Teemu; Tenhunen, Jussi
Abstrakt
<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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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Tidning
Artikelstyp
En originalartikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A1 Originalartikel i en vetenskaplig tidskriftPublikationskanalens uppgifter
Journal
Volym
78
Nummer
3
Artikelnummer
79
ISSN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Licens för förläggarens version
CC BY
Parallellsparad
Nej
Övriga uppgifter
Vetenskapsområden
Miljövetenskap; Ekologi, evolutionsbiologi; Skogsvetenskap
Nyckelord
[object Object],[object Object]
Språk
engelska
Internationell sampublikation
Nej
Sampublikation med ett företag
Nej
DOI
10.1007/s13595-021-01100-0
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja