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Medientyp:
E-Artikel
Titel:
UAV LiDAR for below-canopy forest surveys
Beteiligte:
Chisholm, Ryan A.;
Cui, Jinqiang;
Lum, Shawn K. Y.;
Chen, Ben M.
Erschienen:
Canadian Science Publishing, 2013
Erschienen in:
Journal of Unmanned Vehicle Systems, 1 (2013) 1, Seite 61-68
Sprache:
Englisch
DOI:
10.1139/juvs-2013-0017
ISSN:
2291-3467
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p> Remote sensing tools are increasingly being used to survey forest structure. Most current methods rely on GPS signals, which are available in above-canopy surveys or in below-canopy surveys of open forests, but may be absent in below-canopy environments of dense forests. We trialled a technology that facilitates mobile surveys in GPS-denied below-canopy forest environments. The platform consists of a battery-powered UAV mounted with a LiDAR. It lacks a GPS or any other localisation device. The vehicle is capable of an 8 min flight duration and autonomous operation but was remotely piloted in the present study. We flew the UAV around a 20 m × 20 m patch of roadside trees and developed postprocessing software to estimate the diameter-at-breast-height (DBH) of 12 trees that were detected by the LiDAR. The method detected 73% of trees greater than 200 mm DBH within 3 m of the flight path. Smaller and more distant trees could not be detected reliably. The UAV-based DBH estimates of detected trees were positively correlated with the human-based estimates (R<jats:sup>2</jats:sup> = 0.45, p = 0.017) with a median absolute error of 18.1%, a root-mean-square error of 25.1% and a bias of −1.2%. We summarise the main current limitations of this technology and outline potential solutions. The greatest gains in precision could be achieved through use of a localisation device. The long-term factor limiting the deployment of below-canopy UAV surveys is likely to be battery technology. </jats:p>