A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations
Articolo
Data di Pubblicazione:
2018
Abstract:
In recent years, the Advanced Differential Interferometric Synthetic-Aperture Radar (A-DInSAR) technique has
advanced rapidly for detecting and monitoring ground surface deformations due to landslides. Identification of
the areas affected by ground motion through A-DInSAR data is generally based on visual inspection and hotspot
or cluster analysis of average displacement rates. However, interpreting A-DInSAR time series of a particular
area can provide a better indication of the real trend of displacement of a landslide, while identifying the
possible moment of acceleration of the deformation process as well. In this work, a novel methodology is proposed
for identifying different typologies of ground motion areas mainly related to landslide phenomena at a
regional scale, by means of A-DinSAR data at high spatial and temporal resolutions. This methodological approach
was tested and validated in a wide area of the Piedmont region (northern Italy), by means of RADARSAT
and COSMO-SkyMed satellite data, in both ascending and descending modes. These sensors have a high spatial
resolution, allowing investigation of a higher number of landslides as compared to that of the older ERS-1/2 and
Envisat data. Linear (constant in time displacement) and non-linear (acceleration or deceleration in the displacement
rate) trends were recognised, allowing characterisation of the kinematic pattern of a landslide or a
portion of it. Local and site-specific scale analyses, performed in an Alpine valley and in two hillslopes representative
of the main geological/geomorphological contexts of the study area, validated the results obtained
at the regional scale. This supported the interpretation of the driving mechanism for such known landslides, or
other geological processes which can cause ground motion along slopes. The developed procedure can allow one
to specify priority areas for prevention activities, in order to optimise the costs and benefits of designing a plan to
monitor instability phenomena at regional and site-specific scales
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
A-DInSAR; Deformation time-series; Displacement trends; Landslides; Earth-Surface Processes
Elenco autori:
Bordoni, Massimiliano; Bonì, Roberta; Colombo, Alessio; Lanteri, Luca; Meisina, Claudia
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