Share Email Print
cover

Proceedings Paper

Intermittent SBAS (ISBAS) InSAR with COSMO-SkyMed X-band high resolution SAR data for landslide inventory mapping in Piana degli Albanesi (Italy)
Author(s): Francesca Cigna; Alessandro Novellino; Colm J. Jordan; Andrew Sowter; Massimo Ramondini; Domenico Calcaterra
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In the context of recent advances in InSAR processing techniques to retrieve higher persistent scatterer and coherent target densities over unfavourable land cover classes, this study tests the Intermittent Small Baseline Subset (ISBAS) approach to update the landslide inventory around the town of Piana degli Albanesi (Italy), an area where only 2% of the land appears suitable to generate radar scatterers based on a pre-survey feasibility assessment. ISBAS processing of 38 ascending mode and 36 descending mode COSMO-SkyMed StripMap HIMAGE SAR scenes at 3m resolution allows identification of ~726,000 and ~893,000 coherent and intermittently coherent pixels for the ascending and descending data stacks respectively. Observed improvements in the number of ISBAS solutions for the ascending mode are greater than 40 times compared to the conventional SBAS approach, not only for urban and rocky terrains, but also rural and vegetated land covers. Line of sight ground motion rates range between -6.4 and +5.5 mm/yr in 2008-2011, although the majority of the processed area shows general stability, with average rates of -0.6 mm/yr in the ascending and -0.1 mm/yr in the descending mode results. Interpretation of the ISBAS deformation rates, integrated with targeted field surveys and aerial photo-interpretation, provides a new and more complete picture of landslide distribution, state of activity and intensity in the test area, and allows depiction of very slow and extremely slow landslide processes even in areas difficult to access, with unprecedented coverage of results.

Paper Details

Date Published: 21 October 2014
PDF: 7 pages
Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 92431B (21 October 2014); doi: 10.1117/12.2067424
Show Author Affiliations
Francesca Cigna, British Geological Survey (United Kingdom)
Alessandro Novellino, Univ. degli Studi di Napoli Federico II (Italy)
Colm J. Jordan, British Geological Survey (United Kingdom)
Andrew Sowter, The Univ. of Nottingham (United Kingdom)
Massimo Ramondini, Univ. of Naples Federico II (United Kingdom)
Domenico Calcaterra, Univ. of Naples Federico II (Italy)


Published in SPIE Proceedings Vol. 9243:
SAR Image Analysis, Modeling, and Techniques XIV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

© SPIE. Terms of Use
Back to Top