Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring

被引:236
作者
Tofani, Veronica [1 ]
Raspini, Federico [1 ]
Catani, Filippo [1 ]
Casagli, Nicola [1 ]
机构
[1] Univ Florence, Dept Earth Sci, I-50121 Florence, Italy
关键词
landslide; SAR; PSI; monitoring; northern Apennines; DIFFERENTIAL SAR INTERFEROMETRY; INSAR TIME-SERIES; PERMANENT SCATTERERS; LARGE AREAS; DEFORMATION; DISPLACEMENTS; SUBSIDENCE;
D O I
10.3390/rs5031045
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The measurement of landslide superficial displacement often represents the most effective method for defining its behavior, allowing one to observe the relationship with triggering factors and to assess the effectiveness of the mitigation measures. Persistent Scatterer Interferometry (PSI) represents a powerful tool to measure landslide displacement, as it offers a synoptic view that can be repeated at different time intervals and at various scales. In many cases, PSI data are integrated with in situ monitoring instrumentation, since the joint use of satellite and ground-based data facilitates the geological interpretation of a landslide and allows a better understanding of landslide geometry and kinematics. In this work, PSI interferometry and conventional ground-based monitoring techniques have been used to characterize and to monitor the Santo Stefano d'Aveto landslide located in the Northern Apennines, Italy. This landslide can be defined as an earth rotational slide. PSI analysis has contributed to a more in-depth investigation of the phenomenon. In particular, PSI measurements have allowed better redefining of the boundaries of the landslide and the state of activity, while the time series analysis has permitted better understanding of the deformation pattern and its relation with the causes of the landslide itself. The integration of ground-based monitoring data and PSI data have provided sound results for landslide characterization. The punctual information deriving from inclinometers can help in defining the actual location of the sliding surface and the involved volumes, while the measuring of pore water pressure conditions or water table level can suggest a correlation between the deformation patterns and the triggering factors.
引用
收藏
页码:1045 / 1065
页数:21
相关论文
共 60 条
[1]   A critical review of landslide monitoring experiences [J].
Angeli, MG ;
Pasuto, A ;
Silvano, S .
ENGINEERING GEOLOGY, 2000, 55 (03) :133-147
[2]  
[Anonymous], [No title captured]
[3]   Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy) [J].
Berardino, P ;
Costantini, M ;
Franceschetti, G ;
Iodice, A ;
Pietranera, L ;
Rizzo, V .
ENGINEERING GEOLOGY, 2003, 68 (1-2) :31-51
[4]   A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms [J].
Berardino, P ;
Fornaro, G ;
Lanari, R ;
Sansosti, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2375-2383
[5]  
Bitelli G., 2004, INT ARCH PHOTOGRAMME, V35, P246
[6]   Assessing the activity of a large landslide in southern Italy by ground-monitoring and SAR interferometric techniques [J].
Calo, Fabiana ;
Calcaterra, Domenico ;
Iodice, Antonio ;
Parise, Mario ;
Ramondini, Massimo .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (11) :3512-3530
[7]   Landslide activity as a geoindicator in Italy: significance and new perspectives from remote sensing [J].
Canuti, P ;
Casagli, N ;
Ermini, L ;
Fanti, R ;
Farina, P .
ENVIRONMENTAL GEOLOGY, 2004, 45 (07) :907-919
[8]   A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data [J].
Casu, F. ;
Manzo, M. ;
Lanari, R. .
REMOTE SENSING OF ENVIRONMENT, 2006, 102 (3-4) :195-210
[9]   Advanced radar-interpretation of InSAR time series for mapping and characterization of geological processes [J].
Cigna, F. ;
Del Ventisette, C. ;
Liguori, V. ;
Casagli, N. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2011, 11 (03) :865-881
[10]   How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): the PSI-based matrix approach [J].
Cigna, Francesca ;
Bianchini, Silvia ;
Casagli, Nicola .
LANDSLIDES, 2013, 10 (03) :267-283