GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs
<jats:p>Abstract. Landslides in glacial environments are high-magnitude, long-runout events, believed to be increasing in frequency as a paraglacial response to ice retreat and thinning and, arguably, due to warming temperatures and degrading permafrost above current glaciers. However, our abi...
Published in: | Earth Surface Dynamics |
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Language: | English |
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Copernicus GmbH
2020
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Online Access: | https://livrepository.liverpool.ac.uk/3110674/ https://doi.org/10.5194/esurf-8-1053-2020 https://livrepository.liverpool.ac.uk/3110674/1/smith-et-al-2020-geraldine-google-earth-engine-supraglacial-debris-input-detector-a-new-tool-for-identifying-and-monitoring-supraglacial-landslide-inputs.pdf |
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ftunivliverpool:oai:livrepository.liverpool.ac.uk:3110674 2024-09-15T18:07:35+00:00 GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs Smith, William D Dunning, Stuart A Brough, Stephen Ross, Neil Telling, Jon 2020 text https://livrepository.liverpool.ac.uk/3110674/ https://doi.org/10.5194/esurf-8-1053-2020 https://livrepository.liverpool.ac.uk/3110674/1/smith-et-al-2020-geraldine-google-earth-engine-supraglacial-debris-input-detector-a-new-tool-for-identifying-and-monitoring-supraglacial-landslide-inputs.pdf en eng Copernicus GmbH https://livrepository.liverpool.ac.uk/3110674/1/smith-et-al-2020-geraldine-google-earth-engine-supraglacial-debris-input-detector-a-new-tool-for-identifying-and-monitoring-supraglacial-landslide-inputs.pdf Smith, William D, Dunning, Stuart A, Brough, Stephen, Ross, Neil and Telling, Jon (2020) GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs. EARTH SURFACE DYNAMICS, 8 (4). pp. 1053-1065. Article NonPeerReviewed 2020 ftunivliverpool https://doi.org/10.5194/esurf-8-1053-2020 2024-07-08T14:17:39Z <jats:p>Abstract. Landslides in glacial environments are high-magnitude, long-runout events, believed to be increasing in frequency as a paraglacial response to ice retreat and thinning and, arguably, due to warming temperatures and degrading permafrost above current glaciers. However, our ability to test these assumptions by quantifying the temporal sequencing of debris inputs over large spatial and temporal extents is limited in areas with glacier ice. Discrete landslide debris inputs, particularly in accumulation areas, are rapidly “lost”, being reworked by motion and icefalls and/or covered by snowfall. Although large landslides can be detected and located using their seismic signature, smaller (M≤5.0) landslides frequently go undetected because their seismic signature is less than the noise floor, particularly supraglacially deposited landslides, which feature a “quiet” runout over snow. Here, we present GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new free-to-use tool leveraging Landsat 4–8 satellite imagery and Google Earth Engine. GERALDINE outputs maps of new supraglacial debris additions within user-defined areas and time ranges, providing a user with a reference map, from which large debris inputs such as supraglacial landslides (>0.05 km2) can be rapidly identified. We validate the effectiveness of GERALDINE outputs using published supraglacial rock avalanche inventories, and then demonstrate its potential by identifying two previously unknown, large (>2 km2) landslide-derived supraglacial debris inputs onto glaciers in the Hayes Range, Alaska, one of which was not detected seismically. GERALDINE is a first step towards a complete global magnitude–frequency of landslide inputs onto glaciers over the 38 years of Landsat Thematic Mapper imagery. </jats:p> Article in Journal/Newspaper glacier glaciers Ice permafrost Alaska The University of Liverpool Repository Earth Surface Dynamics 8 4 1053 1065 |
institution |
Open Polar |
collection |
The University of Liverpool Repository |
op_collection_id |
ftunivliverpool |
language |
English |
description |
<jats:p>Abstract. Landslides in glacial environments are high-magnitude, long-runout events, believed to be increasing in frequency as a paraglacial response to ice retreat and thinning and, arguably, due to warming temperatures and degrading permafrost above current glaciers. However, our ability to test these assumptions by quantifying the temporal sequencing of debris inputs over large spatial and temporal extents is limited in areas with glacier ice. Discrete landslide debris inputs, particularly in accumulation areas, are rapidly “lost”, being reworked by motion and icefalls and/or covered by snowfall. Although large landslides can be detected and located using their seismic signature, smaller (M≤5.0) landslides frequently go undetected because their seismic signature is less than the noise floor, particularly supraglacially deposited landslides, which feature a “quiet” runout over snow. Here, we present GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new free-to-use tool leveraging Landsat 4–8 satellite imagery and Google Earth Engine. GERALDINE outputs maps of new supraglacial debris additions within user-defined areas and time ranges, providing a user with a reference map, from which large debris inputs such as supraglacial landslides (>0.05 km2) can be rapidly identified. We validate the effectiveness of GERALDINE outputs using published supraglacial rock avalanche inventories, and then demonstrate its potential by identifying two previously unknown, large (>2 km2) landslide-derived supraglacial debris inputs onto glaciers in the Hayes Range, Alaska, one of which was not detected seismically. GERALDINE is a first step towards a complete global magnitude–frequency of landslide inputs onto glaciers over the 38 years of Landsat Thematic Mapper imagery. </jats:p> |
format |
Article in Journal/Newspaper |
author |
Smith, William D Dunning, Stuart A Brough, Stephen Ross, Neil Telling, Jon |
spellingShingle |
Smith, William D Dunning, Stuart A Brough, Stephen Ross, Neil Telling, Jon GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
author_facet |
Smith, William D Dunning, Stuart A Brough, Stephen Ross, Neil Telling, Jon |
author_sort |
Smith, William D |
title |
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
title_short |
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
title_full |
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
title_fullStr |
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
title_full_unstemmed |
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs |
title_sort |
geraldine (google earth engine supraglacial debris input detector): a new tool for identifying and monitoring supraglacial landslide inputs |
publisher |
Copernicus GmbH |
publishDate |
2020 |
url |
https://livrepository.liverpool.ac.uk/3110674/ https://doi.org/10.5194/esurf-8-1053-2020 https://livrepository.liverpool.ac.uk/3110674/1/smith-et-al-2020-geraldine-google-earth-engine-supraglacial-debris-input-detector-a-new-tool-for-identifying-and-monitoring-supraglacial-landslide-inputs.pdf |
genre |
glacier glaciers Ice permafrost Alaska |
genre_facet |
glacier glaciers Ice permafrost Alaska |
op_relation |
https://livrepository.liverpool.ac.uk/3110674/1/smith-et-al-2020-geraldine-google-earth-engine-supraglacial-debris-input-detector-a-new-tool-for-identifying-and-monitoring-supraglacial-landslide-inputs.pdf Smith, William D, Dunning, Stuart A, Brough, Stephen, Ross, Neil and Telling, Jon (2020) GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs. EARTH SURFACE DYNAMICS, 8 (4). pp. 1053-1065. |
op_doi |
https://doi.org/10.5194/esurf-8-1053-2020 |
container_title |
Earth Surface Dynamics |
container_volume |
8 |
container_issue |
4 |
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1053 |
op_container_end_page |
1065 |
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1810444969761046528 |