Abstract
Two different techniques aimed at assessing deformation data related to slow-moving landslides are here discussed, both being based upon Persistent Scatterer Interferometry. To this scope, a case-study from Calitri, Campania region, Italy is dealt with, represented by a large complex landslide re-activated by the 23 November 1980 M=6.9 earthquake. Through the first technique, ascending and descending geometry dataset have been used, creating synthetic PS and vertical and easting displacement maps. The second procedure consisted in a morphometric decomposition of the velocity vector for each PS with respect to the maximum downhill slope angle and slope aspect. The results from both techniques were finally compared and discussed.
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References
APAT (2006) Geological Map of Italy – Sheet n. 451 Melfi. http://www.isprambiente.gov.it/MEDIA/carg/451_MELFI/Foglio.html. Last accessed 10 June 2011
Budetta P, Calcaterra D, de Riso R, Santo A (1990) Geology and landslides of the Upper valley of the Ofanto River southern Apennines. Memorie Società Geologica Italiana 45:309–324 (in Italian)
Calò F (2009) Analysis of slow-moving landslides in Southern Apennines by integrating ground monitoring and Remote Sensing techniques. Ph.D. thesis, Federico II University of Naples, Italy
Cascini L, Fornaro G, Peduto D (2009) Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas. ISPRS J Photogramm Rem Sens 64(6):598–611
Cascini L, Fornaro G, Peduto D (2010) Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales. Eng Geol 112:29–42
Colesanti C, Ferretti A, Novali F, Prati C, Rocca F (2003) SAR monitoring of progressive and seasonal ground deformation using the Permanent Scatterers Technique. IEEE Trans Geosci Rem Sens 41(7):1685–1701
De Luca G (2011) Application of the PSInSAR technique to the monitoring of slow-moving landslides. MS thesis, Federico II University of Naples, Italy, (in Italian)
Del Prete M, Trisorio Liuzzi G (1981) Results of the preliminary study of the Calitri landslide (AV) mobilized by the 23/11/1980 earthquake. Geologia Applicata ed Idrogeologia 16:153–65 (in Italian)
Ferretti A, Prati C, Rocca F (2000) Non-linear subsidence rate estimation using Permanent Scatterers in Differential SAR Interferometry. IEEE Trans Geosci Rem Sens 38(5):2202–2212
Ferretti A, Prati C, Rocca F (2001) Permanent scatterers in SAR interferometry. IEEE Trans Geosci Rem Sens 39(1):8–20
Ferretti A, Savio G, Barzaghi R, Borghi A, Musazzi S, Novali F, Prati C, Rocca F (2007) Submillimeter accuracy of InSAR time series: experimental validation. IEEE Trans Geosci Rem Sens 45(5):1142–1153
Fialko Y, Simons M, Agnew D (2001) The complete (3-D) surface displacement field in the epicentral area of the 1999 Mw 7.1 Hector Mine earthquake, California, from space geodetic observations. Geophys Res Lett 28(16):3063–3066
Hutchinson JN, Del Prete M (1985) Landslides at Calitri, southern Apennines, reactivated by the earthquake of 23rd November 1980. Geologia Applicata ed Idrogeologia 20(1):9–38
Italian Ministry for Environment, Territory and Sea (2009) Guidelines to the analysis of satellite interferometric data in areas exposed to instability phenomena. Version 1.0, 108 p, (in Italian)
Martino S, Scarascia Mugnozza G (2005) The role of the seismic trigger in the Calitri landslide (Italy): historical reconstruction and dynamic analysis. Soil Dyn Earthq Eng 25:933–950
Meisina C, Zucca F, Fossati D, Ceriani M, Allievi J (2006) Ground deformation monitoring by using the Permanent Scatterers Technique: the example of the Oltrepo Pavese (Lombardia, Italy). Eng Geol 88:240–259
Meisina C, Zucca F, Notti D, Colombo A, Cucchi A, Savio G, Giannico C, Bianchi M (2008) Geological interpretation of PSInSAR data at regional scale. Sensors 8(11):7469–7492
Parise M, Wasowski J (1998) Evolutive aspects and landslide activity in the surroundings of Calitri. In: Proceedings of international conference on “La prevenzione delle catastrofi idrogeologiche: il contributo della ricerca scientifica”, Alba, vol 1, 5–7 Nov 1996, pp 135–144, (in Italian)
Parise M, Wasowski J (1999) Landslide activity maps for landslide hazard evaluation: three case studies from Southern Italy. Nat Hazards 20:159–183
PODIS Project Campania (2008) Technical descriptive notes of the elaboration made by the PODIS TELLUS Project (PON ATAS 2000–2006) on the PSinSAR data of Campania region. http://www.difesa.suolo.regione.campania.it. Last accessed 10 June 2011, (in Italian)
T.R.E. (2008) PSInSARTM user’s manual. TeleRilevamento Europa, Milan, 84 p, (in Italian)
Wright TJ, Parsons BE, Lu Z (2004) Toward mapping surface deformation in three dimensions using InSAR. Geophys Res Lett 31:L01607. doi:10.1029/2003GL018827
Acknowledgments
Dr. Salvatore Costabile (MATTM) is gratefully acknowledged for having promoted the cooperation protocol between MATTM and Federico II University of Naples.
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Martire, D.D., De Luca, G., Ramondini, M., Calcaterra, D. (2013). Landslide-Related PS Data Interpretation by Means of Different Techniques. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31445-2_45
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DOI: https://doi.org/10.1007/978-3-642-31445-2_45
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