GI_Forum 2020, Volume 8, 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 2020, Volume 8, Issue 1 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8740-0 Online Edition
Georg Pointner,
Annett Bartsch
S. 47 - 62 doi:10.1553/giscience2020_01_s47 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2020_01_s47
Abstract: Anomalous areas of varying shape and location characterized by low backscatter in Synthetic Aperture Radar (SAR) imagery of lake ice on lake Neyto on the Yamal Peninsula in Russia have been described qualitatively in the literature for many years. Possible suggested causes are the formation of eddies or the release of gas through the lake sediments, which could both lead to local thinning of the ice layer and alter radar backscatter. To date, the phenomenon, its cause, and its spatial and temporal dynamics are poorly understood, and studies from other geographic regions are completely absent. In order to perform first steps towards a better understanding of the phenomenon, we developed a workflow to quantitatively assess the spatial variability of the anomalies in the years 2015 to 2019 for lake Neyto. We introduce a binary image classification algorithm developed with state-of-the-art open-source image processing tools and employ metrics commonly used for describing spatial relationships of vector and raster data. This includes polygon distances, polygon intersections and cumulative pixel counts deduced from the classification results in order to quantify, for the very first time, the dynamics over a number of years. The geospatial analysis reveals large spatial variations, but also some overlap between different years. Locations of anomalies do not seem more similar between consecutive years than when they are compared over the longer period. Some of the spatial properties of the clusters of low backscatter may support the explanation of gas release as the primary cause of the observed patterns. Keywords: remote sensing, Arctic, lakes, image processing, synthetic aperture radar Published Online: 2020/06/25 07:49:05 Object Identifier: 0xc1aa5576 0x003b9d78 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 |