GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs

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 assum...

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Published in:Earth Surface Dynamics
Main Authors: Smith, William D., Dunning, Stuart A., Brough, Stephen, Ross, Neil, Telling, Jon
Format: Text
Language:English
Published: 2020
Subjects:
Ice
Online Access:https://doi.org/10.5194/esurf-8-1053-2020
https://esurf.copernicus.org/articles/8/1053/2020/
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spelling ftcopernicus:oai:publications.copernicus.org:esurf85840 2023-05-15T16:20:44+02:00 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 2020-12-17 application/pdf https://doi.org/10.5194/esurf-8-1053-2020 https://esurf.copernicus.org/articles/8/1053/2020/ eng eng doi:10.5194/esurf-8-1053-2020 https://esurf.copernicus.org/articles/8/1053/2020/ eISSN: 2196-632X Text 2020 ftcopernicus https://doi.org/10.5194/esurf-8-1053-2020 2020-12-21T17:22:13Z 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 km 2 ) 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 km 2 ) 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. Text glacier glaciers Ice permafrost Alaska Copernicus Publications: E-Journals Hayes ENVELOPE(-64.167,-64.167,-66.833,-66.833) Earth Surface Dynamics 8 4 1053 1065
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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 km 2 ) 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 km 2 ) 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.
format Text
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
publishDate 2020
url https://doi.org/10.5194/esurf-8-1053-2020
https://esurf.copernicus.org/articles/8/1053/2020/
long_lat ENVELOPE(-64.167,-64.167,-66.833,-66.833)
geographic Hayes
geographic_facet Hayes
genre glacier
glaciers
Ice
permafrost
Alaska
genre_facet glacier
glaciers
Ice
permafrost
Alaska
op_source eISSN: 2196-632X
op_relation doi:10.5194/esurf-8-1053-2020
https://esurf.copernicus.org/articles/8/1053/2020/
op_doi https://doi.org/10.5194/esurf-8-1053-2020
container_title Earth Surface Dynamics
container_volume 8
container_issue 4
container_start_page 1053
op_container_end_page 1065
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