Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series
<p>In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The methodology is based on the analysis of the Synthetic Aperture Radar (SAR)-based displacement time series. The procedure includes two modules developed using the ModelBuilder tool...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-04-01
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| Series: | Proceedings of the International Association of Hydrological Sciences |
| Online Access: | https://www.proc-iahs.net/382/277/2020/piahs-382-277-2020.pdf |
| Summary: | <p>In this work, an innovative methodology to generate the
automatic ground motion areas mapping is presented. The methodology is based
on the analysis of the Synthetic Aperture Radar (SAR)-based displacement
time series. The procedure includes two modules developed using the
ModelBuilder tool (ArcGis). These modules allow to identify the ground
motion areas (GMA) using only one dataset and the persistent GMA (PGMA)
considering the different monitored periods and datasets. These areas
represent clusters of targets characterized by the same displacement time
series trend. The procedure was tested using different sensors such as
ERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 covering the periods,
1992–2000, 2003–2010, 2012–2016 and 2014–2017, respectively, over an area of
about 500 km<span class="inline-formula"><sup>2</sup></span> 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.</p> |
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| ISSN: | 2199-8981 2199-899X |