Comparing geological and Persistent Scatterer Interferometry data of the Sele River coastal plain, southern Italy: Implications for recent subsidence trends

Geomorphology ◽  
2020 ◽  
Vol 351 ◽  
pp. 106953 ◽  
Author(s):  
Vincenzo Amato ◽  
Pietro P.C. Aucelli ◽  
Giuseppe Corrado ◽  
Gianluigi Di Paola ◽  
Fabio Matano ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Southern Italy ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Sele River Coastal Plain

Historical and recent changes of the Sele River coastal plain (Southern Italy): natural variations and human pressures

2011 ◽  
Vol 23 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Ines Alberico ◽  
Vincenzo Amato ◽  
Pietro Patrizio Ciro Aucelli ◽  
Gianluigi Di Paola ◽  
Gerardo Pappone ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Southern Italy ◽  
Natural Variations ◽  
Sele River Coastal Plain

Evolution of the Sele River coastal plain (southern Italy) during the Late Quaternary by inland and offshore stratigraphical analyses

2012 ◽  
Vol 23 (1) ◽  
pp. 81-102 ◽  
Author(s):  
Pietro P. C. Aucelli ◽  
Vincenzo Amato ◽  
Francesca Budillon ◽  
Maria Rosaria Senatore ◽  
Sabrina Amodio ◽  
...  
Keyword(s):  
Coastal Plain ◽  
Southern Italy ◽  
Late Quaternary ◽  
Sele River Coastal Plain

scholarly journals Integration of persistent scatterer interferometry and ground data for landslide monitoring: the Pianello landslide (Bovino, Southern Italy)

Landslides ◽  
2019 ◽  
Vol 16 (3) ◽  
pp. 447-468 ◽  
Author(s):  
A. Refice ◽  
L. Spalluto ◽  
F. Bovenga ◽  
A. Fiore ◽  
M. N. Miccoli ◽  
...  
Keyword(s):  
Southern Italy ◽  
Landslide Monitoring ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer

Relative sea-level rise and marine erosion and inundation in the Sele river coastal plain (Southern Italy): scenarios for the next century

2012 ◽  
Vol 23 (1) ◽  
pp. 121-129 ◽  
Author(s):  
Gerardo Pappone ◽  
Pietro Patrizio Ciro Aucelli ◽  
Ines Aberico ◽  
Vincenzo Amato ◽  
Fabrizio Antonioli ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Plain ◽  
Southern Italy ◽  
Relative Sea Level ◽  
Relative Sea Level Rise ◽  
Sele River Coastal Plain

scholarly journals Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets

2019 ◽  
Vol 11 (14) ◽  
pp. 1675 ◽  
Author(s):  
Tomás ◽  
Pagán ◽  
Navarro ◽  
Cano ◽  
Pastor ◽  
...  
Keyword(s):  
Regional Scale ◽  
Central Italy ◽  
Geographical Information ◽  
External Information ◽  
Automatic Identification ◽  
Persistent Scatterer Interferometry ◽  
Active Deformation ◽  
Persistent Scatterers ◽  
Persistent Scatterer ◽  
Map Scale

This work describes a new procedure aimed to semi-automatically identify clusters of active persistent scatterers and preliminarily associate them with different potential types of deformational processes over wide areas. This procedure consists of three main modules: (i) ADAfinder, aimed at the detection of Active Deformation Areas (ADA) using Persistent Scatterer Interferometry (PSI) data; (ii) LOS2HV, focused on the decomposition of Line Of Sight (LOS) displacements from ascending and descending PSI datasets into vertical and east-west components; iii) ADAclassifier, that semi-automatically categorizes each ADA into potential deformational processes using the outputs derived from (i) and (ii), as well as ancillary external information. The proposed procedure enables infrastructures management authorities to identify, classify, monitor and categorize the most critical deformations measured by PSI techniques in order to provide the capacity for implementing prevention and mitigation actions over wide areas against geological threats. Zeri, Campiglia Marittima–Suvereto and Abbadia San Salvatore (Tuscany, central Italy) are used as case studies for illustrating the developed methodology. Three PSI datasets derived from the Sentinel-1 constellation have been used, jointly with the geological map of Italy (scale 1:50,000), the updated Italian landslide and land subsidence maps (scale 1:25,000), a 25 m grid Digital Elevation Model, and a cadastral vector map (scale 1:5,000). The application to these cases of the proposed workflow demonstrates its capability to quickly process wide areas in very short times and a high compatibility with Geographical Information System (GIS) environments for data visualization and representation. The derived products are of key interest for infrastructures and land management as well as decision-making at a regional scale.

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