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...
Published in: | Earth Surface Dynamics |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2020
|
Subjects: | |
Online Access: | https://doi.org/10.5194/esurf-8-1053-2020 https://doaj.org/article/582f004d8acf43dbb492bbc5e0b8b152 |
id |
ftdoajarticles:oai:doaj.org/article:582f004d8acf43dbb492bbc5e0b8b152 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1766008727478992896 |