DC FieldValueLanguage
dc.contributor.authorMandlburger, Gottfried-
dc.contributor.authorHauer, Christoph-
dc.contributor.authorWieser, Martin-
dc.contributor.authorPfeifer, Norbert-
dc.date.accessioned2020-06-27T15:33:55Z-
dc.date.issued2015-
dc.identifier.issn2072-4292-
dc.identifier.urihttps://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-2144-
dc.identifier.urihttp://hdl.handle.net/20.500.12708/177-
dc.description.abstractAirborne LiDAR Bathymetry (ALB) has been rapidly evolving in recent years and now allows fluvial topography to be mapped in high resolution (>20 points/m2) and height accuracy (<10 cm) for both the aquatic and the riparian area. This article presents methods for enhanced modeling and monitoring of instream meso- and microhabitats based on multitemporal data acquisition. This is demonstrated for a near natural reach of the Pielach River, with data acquired from April 2013 to October 2014, covering two flood events. In comparison with topographic laser scanning, ALB requires a number of specific processing steps. We present, firstly, a novel approach for modeling the water surface in the case of sparse water surface echoes and, secondly, a strategy for improved filtering and modeling of the Digital Terrain Model of the Watercourse (DTM-W). Based on the multitemporal DTM-W we discuss the massive changes of the fluvial topography exhibiting deposition/erosion of 103 m3 caused by the 30-years flood event in May 2014. Furthermore, for the first time, such a high-resolution data source is used for monitoring of hydro-morphological units (mesohabitat scale) including the consequences for the target fish species nase (Chondrostoma nasus, microhabitat scale). The flood events caused a spatial displacement of the hydro-morphological units but did not effect their overall frequency distribution, which is considered an important habitat feature as it documents resilience against disturbances.en
dc.description.sponsorshipThe Austrian Research Promotion Agency (FFG) COMET-K-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI AG-
dc.relation.ispartofRemote sensing-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectairborne LiDAR bathymetryen
dc.subjectwater surface modelingen
dc.subjectdigital terrain modelingen
dc.subjectfluvial change detectionen
dc.subjectmesohabitat monitoringen
dc.subjectmicrohabitat monitoringen
dc.titleTopo-bathymetric LiDAR for monitoring river morphodynamics and instream habitats—a case study at the Pielach riveren
dc.typeArticleen
dc.typeArtikelde
dc.relation.grantnoAirborne Alphine Hydro Mapping, AAHM-R2P-
dc.rights.holderThe Author(s) 2015-
dc.type.categoryResearch Articleen
dc.type.categoryForschungsartikelde
tuw.versionvor-
dcterms.isPartOf.titleRemote sensing-
tuw.publication.orgunitE120 - Department für Geodäsie und Geoinformation-
tuw.publisher.doi10.3390/rs70506160-
dc.identifier.libraryidAC11360592-
dc.identifier.urnurn:nbn:at:at-ubtuw:3-2144-
dc.rights.identifierCC BY 4.0-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.fulltextwith Fulltext-
item.grantfulltextopen-
item.openaccessfulltextOpen Access-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.openairetypeArtikel-
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