Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-629-2021
https://doi.org/10.5194/nhess-21-629-2021
Research article
 | 
15 Feb 2021
Research article |  | 15 Feb 2021

Leveraging time series analysis of radar coherence and normalized difference vegetation index ratios to characterize pre-failure activity of the Mud Creek landslide, California

Mylène Jacquemart and Kristy Tiampo

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (26 Oct 2020) by Mahdi Motagh
AR by Mylene Jacquemart on behalf of the Authors (15 Nov 2020)  Author's response   Manuscript 
ED: Publish as is (02 Dec 2020) by Mahdi Motagh
AR by Mylene Jacquemart on behalf of the Authors (06 Dec 2020)  Manuscript 
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Short summary
We used interferometric radar coherence – a data quality indicator typically used to assess the reliability of radar interferometry data – to document the destabilization of the Mud Creek landslide in California, 5 months prior to its catastrophic failure. We calculated a time series of coherence on the slide relative to the surrounding hillslope and suggest that this easy-to-compute metric might be useful for assessing the stability of a hillslope.
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