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


GI_Forum 2023, Volume 11, Issue 2




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9572-6
Online Edition
doi:10.1553/giscience2023_02_
GI_Forum 2023,  Volume 11,  Issue 2 
 
Open access


Verlag der Österreichischen Akademie der Wissenschaften
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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.

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GI_Forum 2023, Volume 11, Issue 2

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9572-6
Online Edition



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doi:10.1553/giscience2023_02_s88



doi:10.1553/giscience2023_02_s88


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


GI_Forum 2023, Volume 11, Issue 2




ISSN 2308-1708
Online Edition

ISBN 978-3-7001-9572-6
Online Edition
doi:10.1553/giscience2023_02_
GI_Forum 2023,  Volume 11,  Issue 2 
 
Open access


Kiarash Pooladsaz, Daniel Hölbling, Jan Brus
S.  88 - 101
doi:10.1553/giscience2023_02_s88

Open access

Verlag der Österreichischen Akademie der Wissenschaften


doi:10.1553/giscience2023_02_s88
Abstract:
Landslides are among the most serious geological hazards in mountainous and hilly areas of New Zealand, where they frequently cause significant damage and landscape changes. Monitoring the evolution of landslides and their consequences can help to mitigate hazards that could arise in later reactivation phases or in similar cases. The abundance of time-series remote sensing data has facilitated the mapping and monitoring of landslides. By applying object-based image analysis (OBIA) and using Sentinel-2 satellite data from 2017 to 2021, we aim to semi-automatically map the evolution of the Kaiwhata landslide and the subsequent impacts on the upstream area in the Wairarapa region in New Zealand. The OBIA mapping results revealed a gradual increase in the landslide area, with two major changes in June 2019 and November 2020. These major changes were followed by the formation of temporary landslide-dammed upstream lakes along the Kaiwhata river.

Keywords:  Landslide, Sentinel-2, Object-based Image Analysis (OBIA), landslide-dammed lake, New Zealand
  2023/12/18 06:48:53
Object Identifier:  0xc1aa5576 0x003eaff8
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.



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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