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: W. D. Smith, S. A. Dunning, S. Brough, N. Ross, J. Telling
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Ice
Online Access:https://doi.org/10.5194/esurf-8-1053-2020
https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152
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spelling ftdoajarticles:oai:doaj.org/article:582f004d8acf43dbb492bbc5e0b8b152 2023-05-15T16:20:45+02:00 GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs W. D. Smith S. A. Dunning S. Brough N. Ross J. Telling 2020-12-01T00:00:00Z https://doi.org/10.5194/esurf-8-1053-2020 https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152 EN eng Copernicus Publications https://esurf.copernicus.org/articles/8/1053/2020/esurf-8-1053-2020.pdf https://doaj.org/toc/2196-6311 https://doaj.org/toc/2196-632X doi:10.5194/esurf-8-1053-2020 2196-6311 2196-632X https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152 Earth Surface Dynamics, Vol 8, Pp 1053-1065 (2020) Dynamic and structural geology QE500-639.5 article 2020 ftdoajarticles https://doi.org/10.5194/esurf-8-1053-2020 2022-12-31T14:00:34Z 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. Article in Journal/Newspaper glacier glaciers Ice permafrost Alaska Directory of Open Access Journals: DOAJ Articles Hayes ENVELOPE(-64.167,-64.167,-66.833,-66.833) Earth Surface Dynamics 8 4 1053 1065
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Dynamic and structural geology
QE500-639.5
spellingShingle Dynamic and structural geology
QE500-639.5
W. D. Smith
S. A. Dunning
S. Brough
N. Ross
J. Telling
GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs
topic_facet Dynamic and structural geology
QE500-639.5
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 Article in Journal/Newspaper
author W. D. Smith
S. A. Dunning
S. Brough
N. Ross
J. Telling
author_facet W. D. Smith
S. A. Dunning
S. Brough
N. Ross
J. Telling
author_sort W. D. Smith
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 Publications
publishDate 2020
url https://doi.org/10.5194/esurf-8-1053-2020
https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152
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 Earth Surface Dynamics, Vol 8, Pp 1053-1065 (2020)
op_relation https://esurf.copernicus.org/articles/8/1053/2020/esurf-8-1053-2020.pdf
https://doaj.org/toc/2196-6311
https://doaj.org/toc/2196-632X
doi:10.5194/esurf-8-1053-2020
2196-6311
2196-632X
https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152
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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