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Titel |
UAS-based quantification of sedimentary body changes at Langgriesgraben, Styria, Austria |
VerfasserIn |
Stefan Schöttl, Gernot Seier, Eric Rascher, Wolfgang Sulzer, Oliver Sass |
Konferenz |
EGU General Assembly 2016
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 18 (2016) |
Datensatznummer |
250134364
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Publikation (Nr.) |
EGU/EGU2016-15077.pdf |
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Zusammenfassung |
The creek’s sedimentary body at Langgriesgraben is characterized by inconstant but recurring
earth surface changes. Mass transport and deposition occur partly spontaneously and
endanger primary infrastructure, in particular a main road. It is often mentioned in literature
that the use of small and lightweight UAS is promising. To contribute to that, this study
focuses on the documentation and quantification of carried sedimentary material by using a
hexacopter in a high alpine environment. The images which were captured on two different
dates, allow generating orthophotos and DEMs. The comparison of these derivatives
enables a deeper understanding of the sedimentary body and its conditions. Our
specific study area is a part of a bigger research area of another research project
(Sedyn-X). One of the main goals of that project is to create a conceptual model of the
sedimentary cascade for the entire Johnsbachtal catchment and to quantify geomorphic
processes (e.g. erosion, transport and rearrangement of sediments). Therefore Terrestrial
Laser Scanning recordings are performed as well. Through the generated surface
models from different eras, changes in surface and volume can be quantified. The
photogrammetric surface models can be compared with almost simultaneous ALS and TLS
recordings.
Apart from that, the outcomes will provide hard facts for decision-makers. The UAS
related processing steps and methods (e.g. DGPS, SfM) are more or less established and
well-known, but the applicability of UAS for recording feasible data, has to be proved
constantly. We assume that our results will answer concrete questions and thus reduce
expected damage and costs. |
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