We compare the results of two independent synthetic aperture radar differential interferometry (DInSAR) approaches to slope instability investigations in the Maratea valley (Southern Italy), based on different processing methods and software. The area selected for the comparison is well ground truthed and provides suitable examples of movements ranging from mm to cm per year. The DInSAR analyses are based on the Small Baseline Subset (SBAS) and Stable Point INterferometry over Unurbanised Areas (SPINUA) techniques. Both methods are applied to SAR images acquired by the ERS-1/2 satellites in the period 1992-2000. Despite the differences in the data processing and minor discrepancies between the displacement maps, mainly due to differences in data classification and thresholding, the results obtained from the two techniques are largely comparable and provide very similar ground surface motion information that leads to a clear distinction between stable and unstable areas and between the zones with different velocity of movement.

A comparative analysis of DInSAR results achieved by the SBAS and SPINUA techniques: The maratea valley case study, Italy

Wasowski Janusz;Casarano Domenico;Bovenga Fabio;Refice Alberto;Berardino Paolo;Manzo Mariarosaria;Pepe Antonio;Zeni Giovanni;Lanari Riccardo
2007

Abstract

We compare the results of two independent synthetic aperture radar differential interferometry (DInSAR) approaches to slope instability investigations in the Maratea valley (Southern Italy), based on different processing methods and software. The area selected for the comparison is well ground truthed and provides suitable examples of movements ranging from mm to cm per year. The DInSAR analyses are based on the Small Baseline Subset (SBAS) and Stable Point INterferometry over Unurbanised Areas (SPINUA) techniques. Both methods are applied to SAR images acquired by the ERS-1/2 satellites in the period 1992-2000. Despite the differences in the data processing and minor discrepancies between the displacement maps, mainly due to differences in data classification and thresholding, the results obtained from the two techniques are largely comparable and provide very similar ground surface motion information that leads to a clear distinction between stable and unstable areas and between the zones with different velocity of movement.
2007
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
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Descrizione: A comparative analysis of DInSAR results achieved by the SBAS and SPINUA techniques: the Maratea valley case study, Italy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/143325
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