Using COSMO/SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis

Bovenga, F.; Wąsowski, J.; Nitti, Davide Oscar; Nutricato, R.; Chiaradia, Maria Teresa

doi:10.1016/j.rse.2011.12.013

Cited by 160 publications

(98 citation statements)

References 23 publications

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“…Google Earth TM tools and associated optical imagery are often used to display distribution and movement rates of radar targets (cf. [5]). …”

Section: Background On Mtimentioning

confidence: 99%

“…This Persistent Scatterers Interferometry-like algorithm (cf., Ferretti et al [12]), originally developed for detection and monitoring of radar targets in non-or scarcely urbanized areas [3,4], has recently been updated to guarantee proper processing of high resolution X-band data from the new generation radar sensors such as CSK and to increase its application flexibility also in case of densely urbanized areas [5]. The quality of SPINUA processing products has already been tested and confirmed in different types of applications.…”

Section: Mti Processingmentioning

confidence: 99%

“…These techniques include ground-based radar interferometry (e.g., [13]), and satellite Synthetic Aperture Radar Interferometry (InSAR) (e.g., [1,5,11]). …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High resolution satellite multi-temporal interferometry for monitoring infrastructure instability hazards

Wąsowski

Bovenga

Nutricato

et al. 2017

Innov. Infrastruct. Solut.

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Advanced remote sensing techniques are now capable of delivering more rapidly high quality information that is sufficiently detailed (and cost-effective) for many engineering applications. Here we focus on synthetic aperture radar (SAR), multi-temporal interferometry (MTI). With radar satellites periodically re-visiting the same area, MTI provides information on distance changes between the on-board radar sensor and the targets on the ground (e.g., human-made structures such as buildings, roads and other infrastructure). The detected distance changes are thus interpreted as evidence of ground and/or structure instability. In settings with limited vegetation cover, MTI can deliver very precise (mm resolution), spatially dense information (from hundreds to thousands measurement points/km 2 ) on slow (mm-cm/year) deformations affecting the ground and engineering structures. Radar satellites offer wide-area coverage (thousands km 2 ) and, with the sensors that actively emit electromagnetic radiation and thus can ''see'' through the clouds, one can obtain deformation measurements even under bad weather conditions. We illustrate the potential of high resolution MTI and explain what this technique can deliver to assist in infrastructure instability hazard assessment. This is done by presenting selected examples of MTI applied to monitor post-construction behavior of engineering structures. The examples are from Italy and include: an earthfill dam, an off-shore vertical breakwater built to protect an oil terminal, city buildings and a highway. We also stress that the current approach to the assessment of instability hazard can be transformed by capitalizing more on the presently underexploited advantage of the MTI technique, i.e., the capability to provide regularly spatially dense quantitative information for large areas where engineering infrastructure may currently be unaffected by instability, but where the terrain and infrastructure history (e.g., aging) may indicate potential for future failures.

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“…Google Earth TM tools and associated optical imagery are often used to display distribution and movement rates of radar targets (cf. [5]). …”

Section: Background On Mtimentioning

confidence: 99%

Section: Mti Processingmentioning

confidence: 99%

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High resolution satellite multi-temporal interferometry for monitoring infrastructure instability hazards

Wąsowski

Bovenga

Nutricato

et al. 2017

Innov. Infrastruct. Solut.

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“…For example, with respect to the satellites (in the best conditions, new generation sensors are able to acquire every day [37]), ground-based systems have a better resolution; they are indeed able to acquire several times per day; however, ground-based datasets are rescaled to become comparable to data acquired by space-borne sensors. The same happens for the spatial resolution, where data are re-sampled referring to the pixel size of data with coarser resolution (generally satellite data).…”

Section: Semi-quantitative Integrationmentioning

confidence: 99%

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

et al. 2016

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This work concerns a proposal of the integration of InSAR (Interferometric Synthetic Aperture Radar) data acquired by ground-based (GB) and satellite platforms. The selected test site is the Åknes rockslide, which affects the western Norwegian coast. The availability of GB-InSAR and satellite InSAR data and the accessibility of a wide literature make the landslide suitable for testing the proposed procedure. The first step consists of the organization of a geodatabase, performed in the GIS environment, containing all of the available data. The second step concerns the analysis of satellite and GB-InSAR data, separately. Two datasets, acquired by RADARSAT-2 (related to a period between October 2008 and August 2013) and by a combination of TerraSAR-X and TanDEM-X (acquired between July 2010 and October 2012), both of them in ascending orbit, processed applying SBAS (Small BAseline Subset) method, are available. GB-InSAR data related to five different campaigns of measurements, referred to the summer seasons of 2006, 2008, 2009, 2010 and 2012, are available, as well. The third step relies on data integration, performed firstly from a qualitative point of view and later from a semi-quantitative point of view. The results of the proposed procedure have been validated by comparing them to GPS (Global Positioning System) data. The proposed procedure allowed us to better define landslide sectors in terms of different ranges of displacements. From a qualitative point of view, stable and unstable areas have been distinguished. In the sector concerning movement, two different sectors have been defined thanks to the results of the semi-quantitative integration step: the first sector, concerning displacement values higher than 10 mm, and the 2nd sector, where the displacements did not exceed a 10-mm value of displacement in the analyzed period.

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“…On the other hand, X-band data, with higher spatial and temporal resolution, allow for a more detailed investigation even at the scale of a single building movement, in a recent and shorter span of time (e.g., some months) (CROSETTO et al 2010;BOVENGA et al 2012;BRU et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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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Using COSMO/SkyMed X-band and ENVISAT C-band SAR interferometry for landslides analysis

Cited by 160 publications

References 23 publications

High resolution satellite multi-temporal interferometry for monitoring infrastructure instability hazards

High resolution satellite multi-temporal interferometry for monitoring infrastructure instability hazards

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

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

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