Integrated Use of Advanced InSAR and GPS Data for Subsidence Monitoring

Bitelli, Gabriele; Bonsignore, F.; Conte, Sara Del; Novali, F.; Pellegrino, I.; Vittuari, Luca

doi:10.1007/978-3-319-09048-1_29

Cited by 10 publications

(17 citation statements)

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“…This is a good agreement between both datasets if we assume that the common temporal span is a six-month period. The estimated error in line with previous works that demonstrate the usefulness of advanced DInSAR techniques (SqueeSAR TM in this case) to monitor a moderate subsidence phenomena providing high precision and spatial accuracy [54][55][56][57][58]. Therefore retrieved SqueeSAR TM results seem to be reliable for the regional detection of residual subsidence surrounding the subsidence troughs produced by underground mining excavation works.…”

Section: Analysis and Validation Of The Results In The Bobrek-centrumsupporting

confidence: 88%

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

et al. 2015

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Section: Analysis and Validation Of The Results In The Bobrek-centrumsupporting

confidence: 88%

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

et al. 2015

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“…The third and last campaign, which will be described in more detail, was accomplished by integrating SAR interferometry and GNSS data collected at permanent stations (Bitelli et al, 2014). SAR analysis was performed by TRE -TeleRilevamento Europa through the SqueeSAR ™ technology, patented algorithm PSInSAR ™ second generation (Ferretti et al, 2011), using a RADARSAT-1 ascending dataset, acquired between 2006 and 2011.…”

Section: The Third Campaign (2011)mentioning

confidence: 99%

Evolution of the techniques for subsidence monitoring at regional scale: the case of Emilia-Romagna region (Italy)

et al. 2015

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Abstract. The recent decades have seen a significant evolution of the methodologies and techniques for the monitoring of subsidence on a regional scale: from the traditional levelling technique to GNSS and finally to SAR interferometry. The case study of Emilia-Romagna, Italy, is a prime example of this evolution.As known, the Emilia-Romagna plain is subject to a phenomenon of subsidence with a natural and an anthropogenic component, both of varying amounts depending on the area. The first contributes a few mm/year; the second, particularly evident in the last 60 years, is mainly correlated to excessive withdrawal of fluids from underground and reaches higher values (in the past, subsidence rates of several cm per year were observed in the Po delta and near Bologna).The geodetic monitoring of subsidence started in the 1950s by different entities, establishing and measuring levelling networks of varying size and with various characteristics, mainly located where the phenomenon was most clearly manifest. These local initiatives were not able to provide a consistent understanding of the phenomenon throughout the entire Emilia-Romagna plain.The first regional-scale monitoring of the Emilia-Romagna plain was initiated in 1999, with a large levelling network (about 3000 km) and a coupled network of 60 GNSS points. In subsequent years, the monitoring approach has mainly focused on the most modern remote sensing techniques integrated with each other, with the adoption of the method DInSAR calibrated to a GNSS Continuous Operating Reference Stations (CORS) database. The application of DInSAR methods resulted in subsidence maps with a greater level of detail.The paper analyzes the methodology choices made during 1999-2012, through three successive campaigns that adopted and integrated the different techniques.

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“…Compared to the precedent 2006-2011 time interval investigated (Bitelli et al, 2014), subsidence has decreased in a large portion of the Emilia-Romagna plain, and in some places a small rate of uplift was indicated (green areas in Fig. 6).…”

Section: Resultsmentioning

confidence: 84%

“…6). Quite impressive is the change in some parts close to Bologna area, where a strong subsidence has been recorded until the recent past (Bitelli et al, 2014). Uplift seems to be related to a large and fast rising in piezometric level, due to a reduction in pumping from water wells (ARPAE, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…After sub-sampling on a 100 × 100 m grid based on the radar coherence, the final dataset was composed of about 320 000 PS (Permanent Scatterers) and DS (Distributed Scatterers) points, more than double the number of points derived from the 2002-2006 dataset. Geostatistical interpolation methods were applied to compute a dense regular grid (100 m × 100 m) of ground vertical movements covering the Emilia-Romagna Po River plain (Bitelli et al, 2014) and to subsequently generate a contour-based thematic map by isokinetic isolines with a contour interval of 2.5 mm yr −1 .…”

Section: Subsidence Monitoring In Emilia-romagna Region: Previous Actmentioning

confidence: 99%

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Updating the subsidence map of Emilia-Romagna region (Italy) by integration of SAR interferometry and GNSS time series: the 2011–2016 period

Bitelli

Bonsignore

Conte³

et al. 2020

Proc. IAHS

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The analysis of the vertical movements of the soil in the Po River plane of the Emilia-Romagna Region (Italy) was updated through an interferometric analysis referred to the 2011-2016 time-span. This activity is a continuation of previous studies on the state of knowledge of vertical soil movements in the same area, analyzed firstly by levelling and GNSS and more recently by SAR interferometry for the periods 1992-2000, 2002-2006, 2006-2011, on behalf of the Emilia-Romagna Region. The survey area analysed was approximately 13 300 km 2 , which corresponds to the territory of the regional plain. The interferometric dataset was calibrated through the use of velocity time series of several permanent GNSS stations. Among the 36 stations analysed, 22 were included in the study area: 16 were used for the calibration and 6 as check points). The velocities required for the calibration of the SAR analysis were calculated in the period following the important seismic events that struck the territory of the Emilia Romagna Region in May 2012. The interferometric analysis was carried out by TRE ALTAMIRA using the SqueeSAR™ technology. In particular, in order to update the interferometric dataset to 2016, it was necessary to perform a joint processing of the available RADARSAT-1 data and of the data acquired by the RADARSAT-2 satellite using a specific operating mode of the SqueeSAR™ algorithm known as stitching; this approach allowed the joint processing of images acquired in the same geometry by these two satellites. The study of the time series of the GNSS permanent stations used to provide the velocity datum to the interferometric analysis, is described, and the results of the SqueeSAR™ interferometric processing are reported. Statistical analyses on the spatial distribution and the type of scatterers have been performed during the screening and validation procedures of the dataset, and for the identification and removal of the outliers. Finally, the resulting map is described in order to analyse the measured soil movements with respect to the results obtained in past analyses, and the possible geological and human-induced causes, which could have produced them.Published by Copernicus Publications on behalf of the International Association of Hydrological Sciences. 40 G. Bitelli et al.: Updating the subsidence map of Emilia-Romagna region (Italy)

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Integrated Use of Advanced InSAR and GPS Data for Subsidence Monitoring

Cited by 10 publications

References 9 publications

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)

Evolution of the techniques for subsidence monitoring at regional scale: the case of Emilia-Romagna region (Italy)

Updating the subsidence map of Emilia-Romagna region (Italy) by integration of SAR interferometry and GNSS time series: the 2011–2016 period

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