Title: Topo-bathymetric LiDAR for monitoring river morphodynamics and instream habitats—a case study at the Pielach river
Language: English
Authors: Mandlburger, Gottfried
Hauer, Christoph 
Wieser, Martin 
Pfeifer, Norbert 
Category: Research Article
Forschungsartikel
Issue Date: 2015
Journal: Remote sensing
ISSN: 2072-4292
Abstract: 
Airborne 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.
Keywords: airborne LiDAR bathymetry; water surface modeling; digital terrain modeling; fluvial change detection; mesohabitat monitoring; microhabitat monitoring
DOI: 10.3390/rs70506160
Library ID: AC11360592
URN: urn:nbn:at:at-ubtuw:3-2144
Organisation: E120 - Department für Geodäsie und Geoinformation 
Publication Type: Article
Artikel
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