Permanent Scatterers for landslide investigations: outcomes from the ESA-SLAM project

Farina, Paolo; Colombo, Davide; Fumagalli, Alfio; Marks, F.; Moretti, Sandro

doi:10.1016/j.enggeo.2006.09.007

Cited by 224 publications

(116 citation statements)

References 29 publications

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“…PSI technique is not a stand-alone technique, and it must be considered as a complementary support to the analyses of the areas affected by slope instability. Ground movement evidence obtained from radar data need always to be validated and compared as much as possible with other kinds of techniques and auxiliary information, in order to achieve a reliable investigation (FARINA et al 2006;RIGHINI et al 2012). Thus, the combined use of radar data with traditional geomorphological tools like photo-interpretation, field surveys and in situ campaigns give useful effort for the mapping and monitoring of the impacts of landslide phenomena on buildings and manufactures of the investigated sites PARCHARIDIS et al 2010;CIGNA et al 2011;TAPETE et al 2012;FRATTINI et al 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Radar-interpretation and photo-interpretation procedures (e.g., FARINA et al 2006;BIANCHINI et al 2012;CIGNA et al 2013;RIGHINI et al 2012) combined with a field survey allowed the mapping and characterization of landslides. In particular, on the one hand, the recognition of features related to topographic surface movements and the typology classification were mainly based on visual interpretation of orthophotos; on the other hand, the evaluation of the velocity and state of activity of phenomena took advantage from multi-interferometry-based information.…”

Section: Methodsmentioning

confidence: 99%

“…Radar-interpretation combined with photo-interpretation analysis (FARINA et al 2006) permitted one to successfully update the pre-existing inventory map of the whole area around San Fratello village, extended up about 25 km 2 (ADB 2012). In particular, this procedure allowed detecting some new potentially hazardous areas and enlarging the boundaries of most of the already mapped phenomena (BIANCHINI et al 2014) (Fig.…”

Section: Cross-validation Between Psi Data and The Field Surveymentioning

confidence: 99%

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Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Bianchini

Ciampalini

Raspini

et al. 2014

Pure Appl. Geophys.

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Abstract-This work provides a multi-temporal and spatial investigation of landslide effects in the San Fratello area (Messina province within the Sicily region, Italy), by means of C-band and X-band Persistent Scatterer Interferometry (PSI) data, integrated with in situ field checks and a crack pattern survey. The Sicily region is extensively affected by hydrogeological hazards since several landslides regularly involved local areas across time. In particular, intense and catastrophic landslide phenomena have recently occurred in the San Fratello area; the last event took place in February 2010, causing large economic damage. Thus, the need for an accurate ground motions and impacts mapping and monitoring turns out to be significantly effective, in order to better identify active unstable areas and to help proper risk-mitigation measures planning. The combined use of historical and recent C-band satellites and current X-band Synthetic Aperture Radar sensors of a new generation permits spatially and temporally detection of landslide-induced motions on a local scale and to properly provide a complete multi-temporal evaluation of their effects on the area of interest. PSI ground motion rates are crosscompared with local failures and damage of involved buildings, recently recognized by in situ observations. As a result, the analysis of landslide-induced movements over almost 20 years and the validation of radar data with manufactured crack patterns, permits one to finally achieve a complete and reliable assessment in the San Fratello test site.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Cross-validation Between Psi Data and The Field Surveymentioning

confidence: 99%

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Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Bianchini

Ciampalini

Raspini

et al. 2014

Pure Appl. Geophys.

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“…In particular, such Persistent Scatterer Interferometry (PSI) techniques were used for updating landslide inventories (e.g. COLESANTI AND WASOWSKY, 2006;FARINA et al, 2006;MEISINA et al, 2008;CHEN et al, 2010;BIANCHINI et al, 2012;BOVEGNA et al, 2012), as well as for detecting and mapping land subsidence (e.g. SOUSA et al, 2010;TOMAS et al2010, RASPINI et al, 2014TEATINI et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A User-Oriented Methodology for DInSAR Time Series Analysis and Interpretation: Landslides and Subsidence Case Studies

Notti

Calò

Cigna

et al. 2015

Pure Appl. Geophys.

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Recent advances in multi-temporal Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR) have greatly improved our capability to monitor geological processes. Ground motion studies using DInSAR require both the availability of good quality input data and rigorous approaches to exploit the retrieved Time Series (TS) at their full potential. In this work we present a methodology for DInSAR TS analysis, with particular focus on landslides and subsidence phenomena. The proposed methodology consists of three main steps: (1) pre-processing, i.e., assessment of a SAR Dataset Quality Index (SDQI), (2) post-processing, i.e., application of empirical/stochastic methods to improve the TS quality, and (3) trend analysis, i.e., comparative implementation of methodologies for automatic TS analysis.Tests were carried out on TS datasets retrieved from processing of SAR imagery acquired by different radar sensors (i.e., ERS-1/2 SAR, RADARSAT-1, ENVISAT ASAR, ALOS PALSAR, TerraSAR-X, COSMO-SkyMed) using advanced DInSAR techniques (i.e., SqueeSAR TM , PSInSAR TM , SPN and SBAS). The obtained values of SDQI are discussed against the technical parameters of each data stack (e.g., radar band, number of SAR scenes, temporal coverage, revisiting time), the retrieved coverage of the DInSAR results, and the constraints related to the characterization of the investigated geological processes. Empirical and stochastic approaches were used to demonstrate how the quality of the TS can be improved after the SAR processing, and examples are discussed to mitigate phase unwrapping errors, and remove regional trends, noise and anomalies. Performance assessment of recently developed methods of trend analysis (i.e., PS-Time, Deviation Index and velocity TS) was conducted on two selected study areas in Northern Italy affected by land subsidence and landslides. Results show that the automatic detection of motion trends enhances the interpretation of DInSAR data, since it provides an objective picture of the deformation behaviour recorded through TS and therefore contributes to the understanding of the on-going geological processes.

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“…A new approach for the updating of pre-existing landslide inventories has been recently developed and experimented (Farina et al 2004(Farina et al , 2006Righini et al 2012), combining traditional geomorphological thematic information (e.g. topographic, geological, land use maps, optical images) and in situ observations with ground displacement data obtained through PSI analysis.…”

Section: Introductionmentioning

confidence: 99%

Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): the Setta basin (Italy) case study

Sara

Bianchini

Moretti

2014

Geomatics, Natural Hazards and Risk

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This paper illustrates the contribution of Persistent Scatterer SAR Interferometry (PSInSAR) technique to landslide detection, using interferometric data acquired in C-band by European remote-sensing satellite (ERS) 1/2 and environmental satellite (ENVISAT) satellites. The main purpose is to update a pre-existing landslide inventory map, by changing or confirming the landslide geometry and state of activity and eventually, identifying new phenomena.This work presents an application of satellite remote sensing to analyse ground displacement movements in the Setta basin, located on the northern Appennine (Bologna province, Italy) and extended up 268 km 2 .The proposed methodology, resting upon pre-existing works already consolidated in the scientific community, combines interferometric measures with aerial imagery and other auxiliary data, in order to detect landslide indicators, finally validated with field surveys. The use of an activity matrix allows the identification of the state of activity of landslide phenomena with respect to the velocity of the radar displacement rates. Field validations are carried out in the areas that are more relevant because of the highest ground velocities and the presence of structures extensively affected by ground movements.The final updated landslide database of the Setta basin, based on Persistent Scatterer Interferometry analysis and in situ checks, consists of 1550 landslides, 236 of which have persistent scatterer information.

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Permanent Scatterers for landslide investigations: outcomes from the ESA-SLAM project

Cited by 224 publications

References 29 publications

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

A User-Oriented Methodology for DInSAR Time Series Analysis and Interpretation: Landslides and Subsidence Case Studies

Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): the Setta basin (Italy) case study

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