Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Djuricic, Ana; Dorninger, Peter; Nothegger, Clemens; Harzhauser, Mathias; Székely, Balázs; Rasztovits, Sascha; Mandic, Oleg; Molnár, Gábor; Pfeifer, Norbert (2016): Digital surface model, hillshade and orthophoto of the world's largest fossil oyster reef, links to GeoTIFFs. PANGAEA, https://doi.org/10.1594/PANGAEA.863615, Supplement to: Djuricic, A et al. (2016): High-resolution 3D surface modeling of a fossil oyster reef. Geosphere, GES01282.1, https://doi.org/10.1130/GES01282.1

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The world's largest fossil oyster reef, formed by the giant oyster Crassostrea gryphoides and located in Stetten (north of Vienna, Austria) is studied by Harzhauser et al., 2015, 2016; Djuricic et al., 2016. Digital documentation of the unique geological site is provided by terrestrial laser scanning (TLS) at the millimeter scale. Obtaining meaningful results is not merely a matter of data acquisition with a suitable device; it requires proper planning, data management, and postprocessing. Terrestrial laser scanning technology has a high potential for providing precise 3D mapping that serves as the basis for automatic object detection in different scenarios; however, it faces challenges in the presence of large amounts of data and the irregular geometry of an oyster reef. We provide a detailed description of the techniques and strategy used for data collection and processing in Djuricic et al., 2016. The use of laser scanning provided the ability to measure surface points of 46,840 (estimated) shells. They are up to 60-cm-long oyster specimens, and their surfaces are modeled with a high accuracy of 1 mm. In addition to laser scanning measurements, more than 300 photographs were captured, and an orthophoto mosaic was generated with a ground sampling distance (GSD) of 0.5 mm. This high-resolution 3D information and the photographic texture serve as the basis for ongoing and future geological and paleontological analyses. Moreover, they provide unprecedented documentation for conservation issues at a unique natural heritage site.
Related to:
Djuricic, Ana; Puttonen, Eetu; Harzhauser, Mathias; Mandic, Oleg; Székely, Balázs; Pfeifer, Norbert (2016): 3D central line extraction of fossil oyster shells. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3, 121-128, https://doi.org/10.5194/isprsannals-III-5-121-2016
Harzhauser, Mathias; Djuricic, Ana; Mandic, Oleg; Neubauer, Thomas A; Zuschin, Martin; Pfeifer, Norbert (2016): Age structure, carbonate production and shell loss rate in an Early Miocene reef of the giant oyster Crassostrea gryphoides. Biogeosciences, 13(4), 1223-1235, https://doi.org/10.5194/bg-13-1223-2016
Harzhauser, Mathias; Djuricic, Ana; Mandic, Oleg; Zuschin, Martin; Dorninger, Peter; Nothegger, Clemens; Székely, Balázs; Puttonen, Eetu; Molnár, Gábor; Pfeifer, Norbert (2015): Disentangling the history of complex multi-phased shell beds based on the analysis of 3D point cloud data. Palaeogeography, Palaeoclimatology, Palaeoecology, 437, 165-180, https://doi.org/10.1016/j.palaeo.2015.07.038
Coverage:
Latitude: 48.367590 * Longitude: 16.359230
Event(s):
Stetten * Latitude: 48.367590 * Longitude: 16.359230 * Location: Lower Austria
Comment:
The data set contains 49 tiles joined in one file named dsm.tif (each tile is 3 × 2 m, in total 294 m²), the digital surface model (1 mm grid), the corresponding hill shade (1 mm resolution, Lambert shading, position of the light source illuminating the model: azimuth 315° and zenith angle 45°) and the orthophoto (0.5 mm resolution). The data is referenced in a local analysis coordinate system (LACS), as specified in Table S1 (see "Further details"). There also the transformation from LACS to UTM is specified. Note: that geographical North is pointing southwards in LACS (Figure S1, see "Further details").
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethodComment
1File contentContentHarzhauser, Mathias
2File nameFile nameHarzhauser, Mathias
3File formatFile formatHarzhauser, Mathias
4File sizeFile sizekByteHarzhauser, Mathias
5Uniform resource locator/link to fileURL fileHarzhauser, Mathias
Size:
15 data points

Download Data

Download dataset as tab-delimited text (use the following character encoding: )

View dataset as HTML