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dc.contributor.authorAwadallah, Mahmoud Omer Mahmoud
dc.contributor.authorMalmquist, Christian
dc.contributor.authorStickler, Morten
dc.contributor.authorAlfredsen, Knut
dc.date.accessioned2023-01-09T10:49:57Z
dc.date.available2023-01-09T10:49:57Z
dc.date.created2023-01-02T09:23:50Z
dc.date.issued2023
dc.identifier.citationRemote Sensing. 2023, 15 .en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/11250/3041910
dc.description.abstractThe development of bathymetric LiDAR technology has contributed significantly to both the quality and quantity of river bathymetry data. Although several bathymetric LiDAR sensors are available today, studies that evaluate the performance of the different bathymetric LiDAR sensors comparatively are still lacking. This study evaluates the performance of three bathymetric LiDAR sensors, CZMIL Supernova, Riegl VQ880-G, and Riegl VQ840-G, used with different acquisition approaches, in mapping Lærdal River bathymetry in Norway. The performance was evaluated based on comparing the sensors against a multibeam echosounder (MBES), a terrestrial laser scanner (TLS), and by an intercomparison between the individual sensors. The comparison was completed by comparing point clouds from the instruments and through the comparison of DEMs created from the point clouds. For the comparison against the MBES, the results show that the median residuals range between 3 to 13 cm, while against the TLS the median residuals range between 0 to 5 cm. The comparison of the CZMIL sensor against the two Riegl sensors shows median residuals of around 12 cm where the CZMIL map is shallower against the VQ880-G and deeper against the VQ840-G sensor. For the two Riegl sensors, the results show a median difference of 2 cm with the VQ880-G map deeper. We do observe that areas with high residuals are linked to river features such as large substrate variability, steep banks, and whitewater/turbulent flow. The study shows that all the LiDAR instruments provide high-quality representations of the river geometry and create a solid foundation for planning, modelling, or other work in rivers where detailed bathymetry is needed.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleQuantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Lærdal River in Norwayen_US
dc.title.alternativeQuantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Lærdal River in Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber21en_US
dc.source.volume15en_US
dc.source.journalRemote Sensingen_US
dc.source.issue1en_US
dc.identifier.doi10.3390/rs15010263
dc.identifier.cristin2098554
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal