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
Dariia Strelnikova,
Karl-Heinrich Anders
S. 141 - 156 doi:10.1553/giscience2017_01_s141 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2017_01_s141
Abstract: The nature of continuous fields implies the necessity to study them through sampling. Further, spatial interpolation allows the estimation of values for points that were originally discarded. Purely spatial interpolation disregards the temporal component of captured data. Such an approach, however, may lead to wrong conclusions if the data being studied is change-prone. This paper analyses spatio-temporal interpolation of air temperature data captured by an unmanned aerial vehicle (UAV). Since each point in the resulting dataset has a unique timestamp, purely spatial interpolation of UAV sensor data is likely to be less accurate than spatio-temporal interpolation. In the case of temperature data, for instance, spatio-temporal interpolation makes it possible to monitor the movement of pockets of warm air. Geoinformation systems, like ArcGIS or QGIS, have rich spatial interpolation toolsets. These systems, however, provide no native spatio-temporal interpolation means. We explored spatio-temporal interpolation of UAV data and developed a prototype of a stand-alone interpolation tool that exploits radial basis functions (RBF) and inverse distance weighting (IDW) for interpolation in a continuous space-time domain. This paper discusses spatio-temporal interpolation of UAV data in comparison with purely spatial interpolation, as well as the application of the developed tool. Keywords: spatio-temporal interpolation, UAV, sensor data, radial basis functions, IDW Published Online: 2017/06/30 06:59:54 Object Identifier: 0xc1aa5576 0x00369cc8 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 |