Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry

作者: El Hachemi Bouali , Thomas Oommen , Rüdiger Escobar-Wolf

DOI: 10.1007/S10346-017-0882-Z

关键词: RadarLandslideInterferometric synthetic aperture radarInterferometryDisplacement (vector)Radar imagingGeodesyPeninsulaNatural hazardGeomorphologyGeology

摘要: Extremely slow landslides, those with a displacement rate <16 mm/year, may be imperceptible without proper instrumentation. These landslides can cause infrastructure damage on long-term timescale. The objective is to identify these through the combination of information from California landslide inventory (CLI) and ground rates using results persistent scatterer interferometry (PSI), an interferometric synthetic aperture radar (InSAR) stacking technique, across Palos Verdes Peninsula in California. A total 34 ENVISAT images (acquired between 2005 2010) 40 COSMO-SkyMed 2012 2014) were processed. An InSAR (ILI) created four criteria: minimum PS count, average measured velocity, slope angle, aspect. ILI divided into categories: slides (LTSs), potentially active (PASs), relatively stable slopes (RSSs), unmapped extremely (UESSs). categories are based whether previously mapped that (in CLI), if scatterers (PSs) present, PSs unstable or stable. final includes 263 peninsula, them 67 identified as UESS. Although UESS exhibit low velocity small (average area 8865 m2 per slide), their presence highly populated such could lead destruction property over long term.

参考文章(69)
E. Trasatti, S. Atzori, S. Zoffoli, C. Tolomei, A. Antonioli, G. Pezzo, A. Coletta, R. Giuliani, J. P. Merryman Boncori, S. Salvi, Activation of the SIGRIS monitoring system for ground deformation mapping during the Emilia 2012 seismic sequence, using COSMO-SkyMed InSAR data Annals of Geophysics. ,vol. 55, ,(2012) , 10.4401/AG-6181
Loredana Antronico, Luigi Borrelli, Dario Peduto, Gianfranco Fornaro, Giovanni Gullà, Luca Paglia, Giovanni Zeni, Conventional and Innovative Techniques for the Monitoring of Displacements in Landslide Affected Area Springer, Berlin, Heidelberg. pp. 125- 131 ,(2013) , 10.1007/978-3-642-31445-2_16
D. M. Cruden, A simple definition of a landslide Bulletin of the International Association of Engineering Geology. ,vol. 43, pp. 27- 29 ,(1991) , 10.1007/BF02590167
Andrew Hooper, Howard Zebker, Paul Segall, Bert Kampes, A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers Geophysical Research Letters. ,vol. 31, ,(2004) , 10.1029/2004GL021737
A. Nascetti, P. Capaldo, M. Porfiri, F. Pieralice, F. Fratarcangeli, L. Benenati, M. Crespi, Fast terrain modelling for hydrogeological risk mapping and emergency management: the contribution of high-resolution satellite SAR imagery Geomatics, Natural Hazards and Risk. ,vol. 6, pp. 554- 582 ,(2015) , 10.1080/19475705.2014.904824
F. Catani, N. Casagli, L. Ermini, G. Righini, G. Menduni, Landslide hazard and risk mapping at catchment scale in the Arno River basin Landslides. ,vol. 2, pp. 329- 342 ,(2005) , 10.1007/S10346-005-0021-0
A. Carrara, M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui, P. Reichenbach, GIS techniques and statistical models in evaluating landslide hazard Earth Surface Processes and Landforms. ,vol. 16, pp. 427- 445 ,(1991) , 10.1002/ESP.3290160505
M. D. Calabro, D. A. Schmidt, J. J. Roering, An examination of seasonal deformation at the Portuguese Bend landslide, southern California, using radar interferometry Journal of Geophysical Research. ,vol. 115, ,(2010) , 10.1029/2009JF001314
Abduwasit Ghulam, Reda Amer, Robert Ripperdan, A filtering approach to improve deformation accuracy using large baseline, low coherence DInSAR phase images international geoscience and remote sensing symposium. pp. 3494- 3497 ,(2010) , 10.1109/IGARSS.2010.5652581