<div class="csl-bib-body">
<div class="csl-entry">Homainejad, N., Winiwarter, L., Hollaus, M., Zlatanova, S., & Pfeifer, N. (2024). Sensing Heathland Vegetation Structure from Unmanned Aircraft System Laser Scanner: Comparing Sensors and Flying Heights. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), <i>Recent Advances in 3D Geoinformation Science : Proceedings of the 18th 3D GeoInfo Conference</i> (pp. 309–328). Springer. https://doi.org/10.1007/978-3-031-43699-4_19</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/194632
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dc.description.abstract
Low-cost lidar sensors mounted on unmanned aircraft systems (UAS) can be applied for the acquisition of small-scale forestry applications providing many advantages over airborne laser scanning (ALS), such as flexibility, low flight altitude and small laser footprint. Compared to 3D data generated from dense image matching using photogrammetry, lidar has the advantage of penetration through the canopy gaps, resulting in a better representation of the vertical structure of the vegetation. We analyse the effect of different flight altitudes on the penetration rate of heathland vegetation in the Blue Mountains, Australia using a Phoenix system based on a Velodyne Puck 16 scanner and a GreenValley LiAir X3-H system based on a Livox scanner. The different sensors achieve quite different performances, especially for the mid-vegetation layer between the canopy and the ground layer. Representation of this layer is especially important when investigating fuel availability for bushfire analyses. In this layer, the LiAir system achieves a sufficient picture at an altitude of 65 m above ground, whereas the Phoenix system needs to be flown as low as 40 m to get a comparable result.
en
dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Geoinformation and Cartography
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dc.subject
Lidar
en
dc.subject
Point density
en
dc.subject
Penetration rate
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dc.subject
Heathland
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dc.title
Sensing Heathland Vegetation Structure from Unmanned Aircraft System Laser Scanner: Comparing Sensors and Flying Heights
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.editoraffiliation
Technical University of Munich, Germany
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dc.contributor.editoraffiliation
Technical University of Munich, Germany
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dc.relation.isbn
978-3-031-43699-4
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dc.relation.doi
10.1007/978-3-031-43699-4
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dc.relation.issn
1863-2246
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dc.description.startpage
309
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dc.description.endpage
328
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1863-2351
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tuw.booktitle
Recent Advances in 3D Geoinformation Science : Proceedings of the 18th 3D GeoInfo Conference