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Brief Communication: Rapid Mapping of Landslide Events: the 3 December 2013 Montescaglioso Landslide, Italy : Volume 14, Issue 7 (25/07/2014)

By Manconi, A.

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Book Id: WPLBN0004018438
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Brief Communication: Rapid Mapping of Landslide Events: the 3 December 2013 Montescaglioso Landslide, Italy : Volume 14, Issue 7 (25/07/2014)  
Author: Manconi, A.
Volume: Vol. 14, Issue 7
Language: English
Subject: Science, Natural, Hazards
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Luca, C. D., Bonano, M., Ardizzone, F., Lanari, R., Parise, M., Manconi, A.,...Casu, F. (2014). Brief Communication: Rapid Mapping of Landslide Events: the 3 December 2013 Montescaglioso Landslide, Italy : Volume 14, Issue 7 (25/07/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: CNR IRPI, Strada delle Cacce 73, 10135 Turin, Italy. We present an approach to measure 3-D surface deformations caused by large, rapid-moving landslides using the amplitude information of high-resolution, X-band synthetic aperture radar (SAR) images. We exploit SAR data captured by the COSMO-SkyMed satellites to measure the deformation produced by the 3 December 2013 Montescaglioso landslide, southern Italy. The deformation produced by the deep-seated landslide exceeded 10 m and caused the disruption of a main road, a few homes and commercial buildings. The results open up the possibility of obtaining 3-D surface deformation maps shortly after the occurrence of large, rapid-moving landslides using high-resolution SAR data.

Summary
Brief Communication: Rapid mapping of landslide events: the 3 December 2013 Montescaglioso landslide, Italy

Excerpt
Allasia, P., Manconi, A., Giordan, D., Baldo, M., and Lollino, G.: ADVICE: A New Approach for Near-Real-Time Monitoring of Surface Displacements in Landslide Hazard Scenarios, Sensors, 13, 8285–8302, doi:10.3390/s130708285, 2013.; Boccardo, P.: New perspectives in emergency mapping, Eur. J. Remote Sens., 571–582, doi:10.5721/EuJRS20134633, 2013.; Boenzi, F., Radina, B., Ricchetti, G., and Valduga, A.: Note illustrative della Carta Geologica d'Italia alla scala 1:100.000, Foglio 201 Matera, Serv. Geol. It., 48 pp., 1971.; Bürgmann, R., Rosen, P. A., and Fielding, E. J.: Synthetic Aperture Radar Interferometry to Measure Earth's Surface Topography and Its Deformation, Annu. Rev. Earth Planet. Sci., 28, 169–209, doi:10.1146/annurev.earth.28.1.169, 2000.; Casu, F., Manconi, A., Pepe, A., and Lanari, R.: Deformation Time-Series Generation in Areas Characterized by Large Displacement Dynamics: The SAR Amplitude Pixel-Offset SBAS Technique, IEEE Trans. Geosci. Remote Sens., 49, 2752–2763, doi:10.1109/TGRS.2010.2104325, 2011.; Colesanti, C. and Wasowski, J.: Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry, Eng. Geol., 88, 173–199, doi:10.1016/j.enggeo.2006.09.013, 2006.; Cruden, D. M. and Varnes, D. J.: Landslides Types and Processes, in: Landslides: Investigation and Mitigation, edited by: Turner, A. K. and Schuster, R. L., 36–75, National Academy Press, WA, 1996.; Gance, J., Malet, J.-P., Dewez, T., and Travelletti, J.: Target Detection and Tracking of moving objects for characterizing landslide displacements from time-lapse terrestrial optical images, Eng. Geol., 172, 26–40, doi:10.1016/j.enggeo.2014.01.003, 2014.; García-Davalillo, J. C., Herrera, G., Notti, D., Strozzi, T., and Álvarez-Fernández, I.: DInSAR analysis of ALOS PALSAR images for the assessment of very slow landslides: the Tena Valley case study, Landslides, 11, 225–246, doi:10.1007/s10346-012-0379-8, 2014.; Wieczorek, G. F. and Snyder, J. B.: Monitoring slope movements, Geol. Monit., 245–271, 2009.; Giordan, D., Allasia, P., Manconi, A., Baldo, M., Santangelo, M., Cardinali, M., Corazza, A., Albanese, V., Lollino, G., and Guzzetti, F.: Morphological and kinematic evolution of a large earthflow: The Montaguto landslide, southern Italy, Geomorphology, 187, 61–79, doi:10.1016/j.geomorph.2012.12.035, 2013.; Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., and Chang, K.-T.: Landslide inventory maps: New tools for an old problem, Earth Sci. Rev., 112, 42–66, doi:10.1016/j.earscirev.2012.02.001, 2012.; Hu, J., Li, Z. W., Ding, X. L., Zhu, J. J., Zhang, L., and Sun, Q.: Resolving three-dimensional surface displacements from InSAR measurements: A review, Earth-Sci. Rev., 133, 1–17, doi:10.1016/j.earscirev.2014.02.005, 2014.; Manconi, A. and Casu, F.: Joint analysis of displacement time series retrieved from SAR phase and amplitude: Impact on the estimation of volcanic source parameters, Geophys. Res. Lett., 39, L14301, doi:10.1029/2012GL052202, 2012.; Massonnet, D., Rossi, M., Carmona, C., Adragna, F., Peltzer, G., Feigl, K., and Rabaute, T.: The displacement field of the Landers earthquake mapped by radar interferometry, Nature, 364, 138–142,

 

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