Phase and amplitude analyses of SAR data for landslide detection and monitoring in non-urban areas located in the North-Eastern Italian pre-Alps

The main aim of this paper is to exploit information obtained from satellite SAR data to detect and monitor instability phenomena affecting hilly and scarcely urbanized areas, overtaking some of the restrictions due to the presence of thick vegetation. To this end, phase and amplitude analyses of CO...

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Bibliographic Details
Published in:Environmental earth sciences 2017, Vol.76 (2), p.1-11, Article 85
Main Authors: Tessari, G., Floris, M., Pasquali, P.
Format: Article
Language:English
Subjects:
Amplitude
Biogeosciences
Case depth
Data
Data processing
Detection
Earth
Earth and Environmental Science
Earth rotation
Earth Sciences
Environmental Science and Engineering
Fluid flow
Geochemistry
Geology
Hydrology/Water Resources
Instability
Landslides
Landslides & mudslides
Monitoring
Original Article
Process parameters
SAR (radar)
Satellites
Stability
Stability analysis
Terrestrial Pollution
Urban areas
Vegetation
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Summary:The main aim of this paper is to exploit information obtained from satellite SAR data to detect and monitor instability phenomena affecting hilly and scarcely urbanized areas, overtaking some of the restrictions due to the presence of thick vegetation. To this end, phase and amplitude analyses of COSMO-SkyMed SAR data were carried out on two landslides located in the North-Eastern Italian pre-Alps: Cischele roto-translational slide and Val Maso rotational slide—earth flow. In the first case, the careful choice of processing parameters allowed to evaluate landslide displacement fields considering the phase difference between SAR acquisitions. In the second case, the speed of movement and the deep changes in morphology and vegetation induced by the landslide did not allow to apply DInSAR techniques; in this case the variation in the amplitude between SAR acquisitions allowed to detect the area affected by the instability. Obtained results show that methods and techniques to analyse satellite SAR data could be further refined in order to provide useful tools for landslide mapping and monitoring.
ISSN:1866-6280
1866-6299
DOI:10.1007/s12665-017-6403-5