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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Latest update: 01 Apr 2025
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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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