GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8158-3 Online Edition
Paula Redweik,
Rita Matildes,
Fernando Marques
S. 59 - 68 doi:10.1553/giscience2017_01_s59 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2017_01_s59
Abstract: Sea cliff monitoring studies aim to classify cliff sections according to their susceptibility to rock fall so that risk prevention measures can be taken. The classification relies on inventories of well-characterized, past mass movements. Since the surface of a cliff is almost vertical and very irregular in all three space directions, a simple difference between two Digital Terrain Models does not yield the required volumes. A new approach to automatically estimate the volumes of lost masses in 3D point clouds is presented. Using Terrestrial Laser Scanning and Close Range Photogrammetry, very dense 3D point clouds can be obtained to describe the geometry of a sea cliff face. When generated periodically, these can be used to detect changes on the cliff due to erosion. Some of the variables needed to assess cliff susceptibility are location, the affected area and the volume of lost masses. The evaluation of the algorithm yielded a theoretical value for accuracy of ±10% for the volume calculated, which was confirmed by a test using a known volume. This accuracy satisfies the usual requirements of the inventories for cliff evolution studies, and the algorithm represents a significant advance in the geometric characterization of moved masses in 3D for extensive cliff faces. Keywords: volumes, 3D point clouds, 3D α-shape, cliff erosion Published Online: 2017/06/30 06:47:17 Object Identifier: 0xc1aa5572 0x00369cba Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |