Articles | Volume 382
https://doi.org/10.5194/piahs-382-277-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-277-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series
Roberta Bonì
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, University of Pavia,
27100, Pavia, Italy
Claudia Meisina
Department of Earth and Environmental Sciences, University of Pavia,
27100, Pavia, Italy
Linda Poggio
Department of Earth and Environmental Sciences, University of Pavia,
27100, Pavia, Italy
Alessandro Fontana
Department of Geosciences, University of Padua, 35131, Padua, Italy
Giulia Tessari
Sarmap SA, Cascine di Barico, Purasca, Switzerland
Paolo Riccardi
Sarmap SA, Cascine di Barico, Purasca, Switzerland
Mario Floris
Department of Geosciences, University of Padua, 35131, Padua, Italy
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Short summary
In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The procedure was tested using different sensors such as ERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 over an area of about 500 km2 in the Venetian-Friulian coastal Plain (NE Italy). The resulting mapping allows to detect priority areas where to address further in situ investigations such as to verify the presence of localized buried landforms.
In this work, an innovative methodology to generate the automatic ground motion areas mapping is...