Articles | Volume 21, issue 2 
            
                
                    
                    
            
            
            https://doi.org/10.5194/nhess-21-629-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-629-2021
                    © Author(s) 2021. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
                                            
                                    
                                            Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, USA
                                        
                                    Kristy Tiampo
                                            Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, USA
                                        
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                                        Silvan Leinss, Enrico Bernardini, Mylène Jacquemart, and Mikhail Dokukin
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                                                A cluster of 13 large mass flow events including five detachments of entire valley glaciers was observed in the Petra Pervogo range, Tajikistan, in 1973–2019. The local clustering provides additional understanding of the influence of temperature, seismic activity, and geology. Most events occurred in summer of years with mean annual air temperatures higher than the past 46-year trend. The glaciers rest on weak bedrock and are rather short, making them sensitive to friction loss due to meltwater.
                                            
                                            
                                        Andreas Kääb, Mylène Jacquemart, Adrien Gilbert, Silvan Leinss, Luc Girod, Christian Huggel, Daniel Falaschi, Felipe Ugalde, Dmitry Petrakov, Sergey Chernomorets, Mikhail Dokukin, Frank Paul, Simon Gascoin, Etienne Berthier, and Jeffrey S. Kargel
                                    The Cryosphere, 15, 1751–1785, https://doi.org/10.5194/tc-15-1751-2021, https://doi.org/10.5194/tc-15-1751-2021, 2021
                                    Short summary
                                    Short summary
                                            
                                                Hardly recognized so far, giant catastrophic detachments of glaciers are a rare but great potential for loss of lives and massive damage in mountain regions. Several of the events compiled in our study involve volumes (up to 100 million m3 and more), avalanche speeds (up to 300 km/h), and reaches (tens of kilometres) that are hard to imagine. We show that current climate change is able to enhance associated hazards. For the first time, we elaborate a set of factors that could cause these events.
                                            
                                            
                                        P. Sharma, J. Wang, M. Zhang, C. Woods, B. Kar, D. Bausch, Z. Chen, K. Tiampo, M. Glasscoe, G. Schumann, M. Pierce, and R. Eguchi
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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.
                    We used interferometric radar coherence – a data quality indicator typically used to assess the...
                    
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