First Sentinel-1 detections of avalanche debris

Snow avalanches are natural hazards, occurring in snow covered mountain terrain worldwide. Present avalanche research and forecasting relies on complete avalanche activity records in a given area over an entire winter season, which cannot be provided with traditional, mainly field based methods. Rem...

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Main Authors: Malnes, E., Eckerstorfer, M., Vickers, H.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tcd-9-1943-2015
https://tc.copernicus.org/preprints/tc-2015-26/
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spelling ftcopernicus:oai:publications.copernicus.org:tcd28925 2023-05-15T17:24:39+02:00 First Sentinel-1 detections of avalanche debris Malnes, E. Eckerstorfer, M. Vickers, H. 2018-09-26 application/pdf https://doi.org/10.5194/tcd-9-1943-2015 https://tc.copernicus.org/preprints/tc-2015-26/ eng eng doi:10.5194/tcd-9-1943-2015 https://tc.copernicus.org/preprints/tc-2015-26/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tcd-9-1943-2015 2020-07-20T16:24:41Z Snow avalanches are natural hazards, occurring in snow covered mountain terrain worldwide. Present avalanche research and forecasting relies on complete avalanche activity records in a given area over an entire winter season, which cannot be provided with traditional, mainly field based methods. Remote sensing, using weather, and light independent SAR satellites has the potential of filling these data gaps, however, to date their use was limited by high acquisition costs, long repeat cycles, and small ground swath. Sentinel-1A (S1A), on the other hand, operational since October 2014 provides free-of-charge, 20 m spatial resolution, 250 km × 150 km ground swath images every 12 days. In this paper, we present for the first time, that it is possible to detect avalanche debris using S1A images. We successfully apply a change detection method that enhances avalanche debris zones, by comparing repeat pass images before and after the avalanche occurred. Due to the increase in backscatter from avalanche debris, manual detection is possible. With this first proof-of-concept, we show the detection of 489 avalanche debris zones in a S1A image from 6 January 2015, covering the counties Troms and parts of Nordland in Northern Norway. We validate our avalanche detection using very high resolution Radarsat-2 Ultrafine images, as well as extensive field reconnaissance. Our results give us confidence, that S1A detection of avalanches is a critical step towards operational use of SAR avalanche detection in avalanche forecasting. Text Nordland Nordland Northern Norway Nordland Troms Copernicus Publications: E-Journals Norway
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Snow avalanches are natural hazards, occurring in snow covered mountain terrain worldwide. Present avalanche research and forecasting relies on complete avalanche activity records in a given area over an entire winter season, which cannot be provided with traditional, mainly field based methods. Remote sensing, using weather, and light independent SAR satellites has the potential of filling these data gaps, however, to date their use was limited by high acquisition costs, long repeat cycles, and small ground swath. Sentinel-1A (S1A), on the other hand, operational since October 2014 provides free-of-charge, 20 m spatial resolution, 250 km × 150 km ground swath images every 12 days. In this paper, we present for the first time, that it is possible to detect avalanche debris using S1A images. We successfully apply a change detection method that enhances avalanche debris zones, by comparing repeat pass images before and after the avalanche occurred. Due to the increase in backscatter from avalanche debris, manual detection is possible. With this first proof-of-concept, we show the detection of 489 avalanche debris zones in a S1A image from 6 January 2015, covering the counties Troms and parts of Nordland in Northern Norway. We validate our avalanche detection using very high resolution Radarsat-2 Ultrafine images, as well as extensive field reconnaissance. Our results give us confidence, that S1A detection of avalanches is a critical step towards operational use of SAR avalanche detection in avalanche forecasting.
format Text
author Malnes, E.
Eckerstorfer, M.
Vickers, H.
spellingShingle Malnes, E.
Eckerstorfer, M.
Vickers, H.
First Sentinel-1 detections of avalanche debris
author_facet Malnes, E.
Eckerstorfer, M.
Vickers, H.
author_sort Malnes, E.
title First Sentinel-1 detections of avalanche debris
title_short First Sentinel-1 detections of avalanche debris
title_full First Sentinel-1 detections of avalanche debris
title_fullStr First Sentinel-1 detections of avalanche debris
title_full_unstemmed First Sentinel-1 detections of avalanche debris
title_sort first sentinel-1 detections of avalanche debris
publishDate 2018
url https://doi.org/10.5194/tcd-9-1943-2015
https://tc.copernicus.org/preprints/tc-2015-26/
geographic Norway
geographic_facet Norway
genre Nordland
Nordland
Northern Norway
Nordland
Troms
genre_facet Nordland
Nordland
Northern Norway
Nordland
Troms
op_source eISSN: 1994-0424
op_relation doi:10.5194/tcd-9-1943-2015
https://tc.copernicus.org/preprints/tc-2015-26/
op_doi https://doi.org/10.5194/tcd-9-1943-2015
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