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

doi:https://doi.org/10.5194/esurf-8-1053-2020

Articles | Volume 8, issue 4

https://doi.org/10.5194/esurf-8-1053-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-8-1053-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 4

Research article

|

17 Dec 2020

Research article |

| 17 Dec 2020

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

William D. Smith, Stuart A. Dunning, Stephen Brough, Neil Ross, and Jon Telling

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Final revised paper (published on 17 Dec 2020)
Supplement to the final revised paper
Preprint (discussion started on 17 Jun 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Interactive comment on " GERALDINE (Google earth Engine supRaglAciaL Debris INputdEtector) - A new Tool for Identifying and Monitoring Supraglacial Landslide Inputs"', Gioachino Roberti, 04 Jul 2020
RC2: 'Referee comments', Michelle Koutnik, 06 Jul 2020
RC3: 'Review', Sam Herreid, 24 Jul 2020
AC1: 'Author response to reviewers', Will Smith, 17 Sep 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Will Smith on behalf of the Authors (05 Oct 2020) Author's response Manuscript

ED: Publish subject to technical corrections (22 Oct 2020) by Susan Conway

ED: Publish subject to technical corrections (27 Oct 2020) by Niels Hovius (Editor)

AR by Will Smith on behalf of the Authors (29 Oct 2020) Manuscript

Short summary

Glacial landslides are difficult to detect and likely underestimated due to rapid covering or dispersal. Without improved detection rates we cannot constrain their impact on glacial dynamics or their potential climatically driven increases in occurrence. Here we present a new open-access tool (GERALDINE) that helps a user detect 92 % of these events over the past 38 years on a global scale. We demonstrate its ability by identifying two new, large glacial landslides in the Hayes Range, Alaska.