GI_Forum 2023, Volume 11, Issue 2
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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 2023, Volume 11, Issue 2 ISSN 2308-1708 Online Edition ISBN 978-3-7001-9572-6 Online Edition
Mattia Sartori,
Zahra Dabiri
S. 59 - 68 doi:10.1553/giscience2023_02_s59 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2023_02_s59
Abstract: Snow avalanches threaten the safety of people and infrastructure, causing casualties and damage every year. Essential information about spatial distribution and size of avalanches, for mitigation measures, hazard mapping and forecasting, is currently incomplete. Long-term avalanche monitoring over large regions can best be achieved using a space-borne synthetic aperture radar (SAR) system, which offers broad, all-weather coverage, day and night, ensuring data continuity. This study aims to assess the applicability of Sentinel-1 SAR data to semi-automatically detect avalanche debris in the western part of the Italian southern Tyrol, using the snow-rich period of January 2018 as a reference. Utilizing SAR data, avalanche debris was detected by identifying changes in backscatter caused by the rough snow in the avalanche’s run-out zone. Change detection was performed by comparing post- and pre-event Sentinel-1 SAR images and unsupervised object-based classification. 79% of avalanches within the usable portions of the SAR images were correctly detected. Further investigation is required to assess the applicability of the proposed model on a regional scale. Keywords: Sentinel-1 SAR, unsupervised object classification, change detection, avalanche debris Published Online: 2023/12/18 06:42:24 Object Identifier: 0xc1aa5576 0x003eaff4 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. “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 |