<div class="csl-bib-body">
<div class="csl-entry">Gallay, M., Kaňuk, J., Zgraggen, C., Imbach, B., Šašak, J., Šupinský, J., & Hollaus, M. (2023). Unpiloted Airborne Laser Scanning of a Mixed Forest. In J. Meneely (Ed.), <i>3D Imaging of the Environment : Mapping and Monitoring</i> (pp. 114–126). CRC Press. http://hdl.handle.net/20.500.12708/190462</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190462
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dc.description.abstract
Unpiloted airborne laser scanning (ULS) provides an alternative to traditional airborne laser scanning with piloted aircrafts (ALS). Recent studies showed how the reduction of the size and weight of a laser-scanner facilitated integration of LiDAR on unmanned aerial vehicle platforms allows for a low-altitude flying height providing several times higher point sampling density and survey-grade measurement accuracy in comparison to ALS. Thus, new opportunities emerge to characterise the 3D structure of forests in ways that have not been possible until now. Scanning with a wide range of angles enables resolving individual trees and their branch structure in a similar quality to terrestrial laser scanning. This chapter demonstrates the properties of the data acquired within a case study from western Austria. A mixed forest was scanned from an unpiloted helicopter Scout B1-100 equipped with a VUX-1 LiDAR system. The data provided a high spatial detail for assessing local geomorphology, tree segmentation, and 3D modelling of solar irradiation.
en
dc.language.iso
en
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dc.subject
ALS
en
dc.subject
Laserscanning
en
dc.subject
Forests
en
dc.subject
LiDAR
en
dc.title
Unpiloted Airborne Laser Scanning of a Mixed Forest
en
dc.type
Book Contribution
en
dc.type
Buchbeitrag
de
dc.contributor.affiliation
University of Pavol Jozef Šafárik, Slovakia
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dc.contributor.affiliation
University of Pavol Jozef Šafárik, Slovakia
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dc.relation.isbn
9780429327575
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dc.relation.doi
10.1201/9780429327575
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dc.description.startpage
114
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dc.description.endpage
126
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dc.type.category
Edited Volume Contribution
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tuw.booktitle
3D Imaging of the Environment : Mapping and Monitoring
