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dc.contributor.authorSchlögel R
dc.contributor.authorThiebes B
dc.contributor.authorMulas M
dc.contributor.authorCuozzo G
dc.contributor.authorNotarnicola C
dc.contributor.authorSchneiderbauer S
dc.contributor.authorCrespi M
dc.contributor.authorAugusto M
dc.contributor.authorMair V
dc.contributor.authorCorsini A
dc.date.accessioned2018-11-05T13:49:44Z
dc.date.available2018-11-05T13:49:44Z
dc.date.issued2017
dc.identifier.issn2072-4292
dc.identifier.urihttp://dx.doi.org/10.3390/rs9070739
dc.identifier.urihttp://www.mdpi.com/2072-4292/9/7/739
dc.identifier.urihttp://hdl.handle.net/10863/6993
dc.description.abstractFrom the wide range of methods available to landslide researchers and practitioners for monitoring ground displacements, remote sensing techniques have increased in popularity. Radar interferometry methods with their ability to record movements in the order of millimeters have been more frequently applied in recent years. Multi-temporal interferometry can assist in monitoring landslides on the regional and slope scale and thereby assist in assessing related hazards and risks. Our study focuses on the Corvara landslides in the Italian Alps, a complex earthflow with spatially varying displacement patterns. We used radar imagery provided by the COSMO-SkyMed constellation and carried out a validation of the derived time-series data with differential GPS data. Movement rates were assessed using the Permanent Scatterers based Multi-Temporal Interferometry applied to 16 artificial Corner Reflectors installed on the source, track and accumulation zones of the landslide. The overall movement trends were well covered by Permanent Scatterers based Multi-Temporal Interferometry, however, fast acceleration phases and movements along the satellite track could not be assessed with adequate accuracy due to intrinsic limitations of the technique. Overall, despite the intrinsic limitations, Multi-Temporal Interferometry proved to be a promising method to monitor landslides characterized by a linear and relatively slow movement rates.en_US
dc.language.isoenen_US
dc.rights
dc.subjectLandslidesen_US
dc.subjectMulti-temporal radar interferometry
dc.subjectX-band data
dc.subjectCorner reflectors
dc.subjectValidation
dc.subjectDolomites
dc.titleMulti-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy)en_US
dc.typeArticleen_US
dc.date.updated2018-11-05T13:39:27Z
dc.language.isiEN-GB
dc.journal.titleRemote Sensing
dc.description.fulltextopenen_US


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