Articles | Volume 8, issue 4
https://doi.org/10.5194/esurf-8-1053-2020
https://doi.org/10.5194/esurf-8-1053-2020
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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Cited articles

Akhtar, M., Ahmad, N., and Booij, M. J.: The impact of climate change on the water resources of Hindukush-Karakorum-Himalaya region under different glacier coverage scenarios, J. Hydrol., 355, 148–163, https://doi.org/10.1016/j.jhydrol.2008.03.015, 2008. 
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Allen, S. K., Cox, S. C., and Owens, I. F.: Rock avalanches and other landslides in the central Southern Alps of New Zealand: A regional study considering possible climate change impacts, Landslides, 8, 33–48, https://doi.org/10.1007/s10346-010-0222-z, 2011. 
Anderson, R. S.: A model of ablation-dominated medial moraines and the generation of debris-mantled glacier snouts, J. Glaciol., 46, 459–469, https://doi.org/10.3189/172756500781833025, 2000. 
Ballantyne, C. K.: A general model of paraglacial landscape response, Holocene, 12, 371–376, https://doi.org/10.1191/0959683602hl553fa, 2002. 
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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.
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