<div class="csl-bib-body">
<div class="csl-entry">Rhomberg-Kauert, J., Dammert, L., Himmelsbach, T., Pöppl, F., Pfennigbauer, M., & Mandlburger, G. (2025). Evaluation of full-waveform bottom return extraction in whitewater rapids using bathymetric LiDAR. In C. M. U. Neale, A. Maltese, C. R. Bostater Jr., & A. Castagna (Eds.), <i>Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII</i>. SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.3068055</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/222188
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dc.description.abstract
The application of LiDAR and remote sensing methods has long been considered challenging or unfeasible
in the turbulent waters of whitewater rapids. Therefore, this study presents a method to survey whitewater
rapids using signal processing of full-waveform LiDAR recordings. The subtraction of an idealized water column
backscattering response from the recorded waveform and further analysis of the remaining signal allows the
extraction of bottom echoes on a single-waveform basis. To evaluate the extracted points, we surveyed a block
ramp with both total station measurements and helicopter-based bathymetric LiDAR. We could demonstrate
an increase in the water bottom coverage in whitewater areas through the application of the presented method,
which is able to extract bottom echoes for 70 % of the waveforms in the surveyed area. This improves LiDAR
full-waveform processing, by extracting bottom echoes where current processing algorithms were not able to and
thus reducing the mean absolute vertical distance to the reference data from 43.9 cm to 13.3 cm.
en
dc.language.iso
en
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dc.relation.ispartofseries
SPIE - International Society for Optical Engineering. Proceedings
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dc.subject
laser bathymetry
en
dc.subject
airborne laser scanning
en
dc.subject
waveform averaging
en
dc.subject
rough-bed rivers
en
dc.subject
UAV
en
dc.subject
signal processing
en
dc.title
Evaluation of full-waveform bottom return extraction in whitewater rapids using bathymetric LiDAR
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Universität Innsbruck, Austria
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dc.contributor.affiliation
RIEGL Research and Defense GmbH, Austria
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dc.contributor.editoraffiliation
University of Nebraska–Lincoln, United States of America (the)
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dc.contributor.editoraffiliation
University of Palermo, Italy
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dc.contributor.editoraffiliation
Florida Institute of Technology, United States of America (the)
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dc.contributor.editoraffiliation
Ghent University, Belgium
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dc.relation.isbn
9781510692725
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dc.relation.issn
0277-786X
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1996-756X
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tuw.booktitle
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII
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tuw.container.volume
13666
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tuw.relation.publisher
SPIE - International Society for Optical Engineering
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tuw.researchTopic.id
E4
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.id
I8
-
tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Sensor Systems
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tuw.researchTopic.value
40
-
tuw.researchTopic.value
40
-
tuw.researchTopic.value
20
-
tuw.publication.orgunit
E120-07 - Forschungsbereich Photogrammetrie
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tuw.publication.orgunit
E120-05 - Forschungsbereich Ingenieurgeodäsie
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tuw.publisher.doi
10.1117/12.3068055
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dc.description.numberOfPages
10
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tuw.author.orcid
0009-0007-0029-2372
-
tuw.author.orcid
0000-0002-2332-293X
-
tuw.editor.orcid
0000-0002-2778-4680
-
tuw.editor.orcid
0000-0002-9421-0521
-
tuw.event.name
SPIE Environmental Remote Sensing 2025
en
tuw.event.startdate
15-09-2025
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tuw.event.enddate
18-09-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Madrid
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tuw.event.country
ES
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tuw.event.institution
SPIE
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tuw.event.presenter
Rhomberg-Kauert, Jan
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wb.sciencebranch
Geodäsie, Vermessungswesen
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wb.sciencebranch
Informatik
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wb.sciencebranch
Physische Geographie
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wb.sciencebranch.oefos
2074
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1054
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wb.sciencebranch.value
70
-
wb.sciencebranch.value
15
-
wb.sciencebranch.value
15
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.grantfulltext
none
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item.fulltext
no Fulltext
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crisitem.author.dept
E120-07 - Forschungsbereich Photogrammetrie
-
crisitem.author.dept
E120-07 - Forschungsbereich Photogrammetrie
-
crisitem.author.dept
Universität Innsbruck, Austria
-
crisitem.author.dept
E120-07 - Forschungsbereich Photogrammetrie
-
crisitem.author.dept
E389 - Institute of Telecommunications
-
crisitem.author.dept
E120-07 - Forschungsbereich Photogrammetrie
-
crisitem.author.orcid
0009-0007-0029-2372
-
crisitem.author.orcid
0000-0002-2332-293X
-
crisitem.author.parentorg
E120 - Department für Geodäsie und Geoinformation
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crisitem.author.parentorg
E120 - Department für Geodäsie und Geoinformation
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crisitem.author.parentorg
E120 - Department für Geodäsie und Geoinformation
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crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik