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Evaluation of different InSAR multi-baseline construction methods over a dam in southern Italy
Author(s): Claudia Pipitone; Antonino Maltese; Gino Dardanelli; Fulvio Capodici; Jan-Peter Muller; Goffredo La Loggia
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Paper Abstract

Monitoring dam displacements using different techniques allows an evaluation of their structural behaviour over time. In this study, dam displacements (for the Castello dam, Agrigento, Italy) have been investigated using different Interferometric Synthetic Aperture Radar (InSAR) techniques exploiting a freely available dataset from the EU Copernicus Sentinel-1 SAR built by the European Space Agency (ESA). The dataset includes Sentinel 1A (S1A) images acquired in dual-polarization and Interferometric Wide (IW) swath using the Terrain Observation with Progressive Scans SAR (TOPSAR) mode. Three main Multi-Baseline Construction methods based on the identification of Persistent Scatterers (PS) have been tested, within a scene including an extra-urban area surrounding the dam. The evaluation of the best strategy is carried out over few images (7) with a constant acquisition time-span of 12 days, except for the first image, acquired 24 days before the next one. Three different multi-baseline construction methods have been investigated in this preliminary research to test the capability of these InSAR techniques in finding a time series of displacements with high accuracy in extra-urban areas also. The star graph results in displacement appear to be more in agreement with GNSS measurements than other techniques.

Paper Details

Date Published: 10 October 2018
PDF: 7 pages
Proc. SPIE 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 107831A (10 October 2018); doi: 10.1117/12.2326909
Show Author Affiliations
Claudia Pipitone, Univ. degli Studi di Palermo (Italy)
Antonino Maltese, Univ. degli Studi di Palermo (Italy)
Gino Dardanelli, Univ. degli Studi di Palermo (Italy)
Fulvio Capodici, Univ. degli Studi di Palermo (Italy)
Jan-Peter Muller, Mullard Space Science Lab., Univ. College London (United Kingdom)
Goffredo La Loggia, Univ. degli Studi di Palermo (Italy)


Published in SPIE Proceedings Vol. 10783:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XX
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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