Adrijana CAR - Josef STROBL - Robert VOGLER - Gerald GRIESEBNER (Eds.)


GI_Forum 2023, Volume 11, Issue 1




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition
doi:10.1553/giscience2023_01_
GI_Forum 2023,  Volume 11,  Issue 1 
 
Open access


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

“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. “GI_Forum” implements the policy of open access publication (CC-BY-ND-License) after a double-blind peer review process through a highly international team of established scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions.

The 2023-1 Issue comprises work of researchers from different disciplines, most of whom presented their work at the GI_Salzburg 2023 conference (https://gi-salzburg.org/en/). The articles address diverse collections of spatiotemporal data such as multispectral LIDAR, SAR or biology-related datasets, and advanced concepts, methods and tools applied for their analysis like OBIA or Google Earth Engine. Applications range from natural resources management, natural phenomena and hazards to green spaces, urban place perception, mobility, and infrastructure. The impact of ChatGPT on teaching and learning GIScience based on an anecdotal approach contributes to the overall discourse in the scientific and educational community respectively.

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GI_Forum 2023, Volume 11, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition



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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: bestellung.verlag@oeaw.ac.at
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doi:10.1553/giscience2023_01_s45



doi:10.1553/giscience2023_01_s45



Thema: geography
Adrijana CAR - Josef STROBL - Robert VOGLER - Gerald GRIESEBNER (Eds.)


GI_Forum 2023, Volume 11, Issue 1




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9443-9
Online Edition
doi:10.1553/giscience2023_01_
GI_Forum 2023,  Volume 11,  Issue 1 
 
Open access


Sean Jarrett, Daniel Hölbling
S.  45 - 68
doi:10.1553/giscience2023_01_s45

Open access

Verlag der Österreichischen Akademie der Wissenschaften


doi:10.1553/giscience2023_01_s45
Abstract:
A method using Sentinel-1 synthetic aperture radar (SAR) data to evidence flood changes after floodplain restoration is proposed. A Natural Flood Management (NFM) project on the Ouse river in southern England, undertaken by the Sussex Flow Initiative, was analysed to ascertain any reduction of previous flood risk. GIS operations were conducted on the results of the change detection analysis to identify how flood area, form and compactness were affected after the NFM installation, and how these changes relate to the project aims. Flood records based on internet-published drone footage verified the change detection methodology. A scorecard was developed to evaluate the benefits and disadvantages of spatial changes seen in post-restoration floods in comparison to inundation before the measures were installed. Evaluation results were used in the annual report of the SFI project to demonstrate the attenuation of floodwaters in accordance with the aims of the project.

Keywords:  natural flood management, Sentinel-1, change detection, synthetic aperture radar (SAR)
  2023/06/27 06:45:49
Object Identifier:  0xc1aa5576 0x003e555c
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. “GI_Forum” implements the policy of open access publication (CC-BY-ND-License) after a double-blind peer review process through a highly international team of established scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions.

The 2023-1 Issue comprises work of researchers from different disciplines, most of whom presented their work at the GI_Salzburg 2023 conference (https://gi-salzburg.org/en/). The articles address diverse collections of spatiotemporal data such as multispectral LIDAR, SAR or biology-related datasets, and advanced concepts, methods and tools applied for their analysis like OBIA or Google Earth Engine. Applications range from natural resources management, natural phenomena and hazards to green spaces, urban place perception, mobility, and infrastructure. The impact of ChatGPT on teaching and learning GIScience based on an anecdotal approach contributes to the overall discourse in the scientific and educational community respectively.



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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