<div class="csl-bib-body">
<div class="csl-entry">Mandlburger, G., Wieser, M., Hollaus, M., Pfennigbauer, M., & Riegl, U. (2016). Multi-temporal UAV-borne LiDAR point clouds for vegetation analysis - a case study. In <i>EGU General Assembly 2016</i>. EGU General Assembly 2016, Vienna, Austria. Copernicus Publications. http://hdl.handle.net/20.500.12708/43549</div>
</div>
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http://hdl.handle.net/20.500.12708/43549
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en
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Geophysical Research Abstracts
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dc.title
Multi-temporal UAV-borne LiDAR point clouds for vegetation analysis - a case study
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dc.type
Konferenzbeitrag
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dc.type
Inproceedings
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EGU General Assembly 2016
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Abstract Book Contribution
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tuw.booktitle
EGU General Assembly 2016
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18
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false
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tuw.book.ispartofseries
Geophysical Research Abstracts
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tuw.relation.publisher
Copernicus Publications
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E120-07 - Forschungsbereich Photogrammetrie
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1
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tuw.event.name
EGU General Assembly 2016
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17-04-2016
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22-04-2016
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On Site
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Event for scientific audience
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Vienna
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AT
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Mandlburger, Gottfried
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Multi Track
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Geodäsie, Vermessungswesen
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2074
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Geoinformationstechnik
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Geoinformation Technology
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E100
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science to science/art to art
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en
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conference paper
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Publications
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E120-07 - Forschungsbereich Photogrammetrie
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E120-07 - Forschungsbereich Photogrammetrie
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E120-07 - Forschungsbereich Photogrammetrie
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E389 - Institute of Telecommunications
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0009-0005-9870-6494
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E120 - Department für Geodäsie und Geoinformation
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E120 - Department für Geodäsie und Geoinformation
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E350 - Fakultät für Elektrotechnik und Informationstechnik