GPS-based monitoring of land subsidence in the Po Plain (Northern Italy)

Baldi, P.; Casula, Giuseppe; Cenni, Nicola; Loddo, F.; Pesci, A.

doi:10.1016/j.epsl.2009.09.023

Cited by 96 publications

(76 citation statements)

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“…Compared with traditional monitoring methods, such as Global Navigation Satellite System (GNSS) [10,11], leveling [12,13], geological and geophysical investigation methods [14], InSAR can detect and monitor regional-scale surface subsidence at low costs with centimeter-to-millimeter accuracy [9,15]. However, problems accompany InSAR due to scatterer changes with time [16,17].…”

Section: Introductionmentioning

confidence: 99%

Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

et al. 2017

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Abstract:The Terrain Observation with Progressive Scans (TOPS) acquisition mode of Sentinel-1A provides a wide coverage per acquisition and features a repeat cycle of 12 days, making this acquisition mode attractive for surface subsidence monitoring. A few studies have analyzed wide-coverage surface subsidence of Wuhan based on Sentinel-1A data. In this study, we investigated wide-area surface subsidence characteristics in Wuhan using 15 Sentinel-1A TOPS Synthetic Aperture Radar (SAR) images acquired from 11 April 2015 to 29 April 2016 with the Small Baseline Subset Interferometric SAR (SBAS InSAR) technique. The Sentinel-1A SBAS InSAR results were validated by 110 leveling points at an accuracy of 6 mm/year. Based on the verified SBAS InSAR results, prominent uneven subsidence patterns were identified in Wuhan. Specifically, annual average subsidence rates ranged from −82 mm/year to 18 mm/year in Wuhan, and maximum subsidence rate was detected in Houhu areas. Surface subsidence time series presented nonlinear subsidence with pronounced seasonal variations. Comparative analysis of surface subsidence and influencing factors (i.e., urban construction, precipitation, industrial development, carbonate karstification and water level changes in Yangtze River) indicated a relatively high spatial correlation between locations of subsidence bowl and those of engineering construction and industrial areas. Seasonal variations in subsidence were correlated with water level changes and precipitation. Surface subsidence in Wuhan was mainly attributed to anthropogenic activities, compressibility of soil layer, carbonate karstification, and groundwater overexploitation. Finally, the spatial-temporal characteristics of wide-area surface subsidence and the relationship between surface subsidence and influencing factors in Wuhan were determined.

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Section: Introductionmentioning

confidence: 99%

Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

et al. 2017

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“…Figure 3, shows the velocity field of the crustal movement in the northern Italy (from Baldi et al, 2009 In Figure 3, the red line is an example of direction of a SAR satellite with descending orbit (in this case, ENVISAT, Track 122), the blue line is the mean planimetric displacement of the monitored zone and the purple lines are the components parallel and orthogonal to the satellite Track. Figure 5, shows the case of a permanent scatterer (house) subject to both vertical and horizontal displacements.…”

Section: Crustal Movementsmentioning

confidence: 99%

Monitoring of Land Subsidence in Ravenna Municipality Using Integrated Sar - GPS Techniques: Description and First Results

Artese¹,

Fiaschi²,

Martire³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VII, WG VII/2 KEY WORDS: Ravenna, Land Subsidence, GPS, DInSAR, Staring Spotlight, Sentinel-1 ABSTRACT:The Emilia Romagna Region (N-E Italy) and in particular the Adriatic Sea coastline of Ravenna, is affected by a noticeable subsidence that started in the 1950s, when the exploitation of on and off-shore methane reservoirs began, along with the pumping of groundwater for industrial uses. In such area the current subsidence rate, even if lower than in the past, reaches the -2 cm/y. Over the years, local Authorities have monitored this phenomenon with different techniques: spirit levelling, GPS surveys and, more recently, Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, confirming the critical situation of land subsidence risk. In this work, we present the comparison between the results obtained with DInSAR and GPS techniques applied to the study of the land subsidence in the Ravenna territory. With regard to the DInSAR, the Small Baseline Subset (SBAS) and the Coherent Pixel Technique (CPT) techniques have been used. Different SAR datasets have been exploited: ERS-1/2, ENVISAT, TerraSAR-X and Sentinel-1. Some GPS campaigns have been also carried out in a subsidence prone area. 3D vertices have been selected very close to existing persistent scatterers in order to link the GPS measurement results to the SAR ones. GPS data were processed into the International reference system and the comparisons between the coordinates, for the first 6 months of the monitoring, provided results with the same trend of the DInSAR data, even if inside the precision of the method.

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“…Surely, ground subsidences caused by pumping up are almost partially limited by the regulation of the groundwater pumping in Japan already [3]. Ground subsidences are caused still in the local area by pumping up of the groundwater and gases [4] [5]. Moreover, there is subsidence in not only alluvial plains but also basic rock area [6].…”

Section: Introductionmentioning

confidence: 99%

Ground Subsidence Following Groundwater Drawdown by Excavating of 500 m Deep Investigation Shafts in Granite Body in Mizunami, Central Japan in 2004-2012

Kimata¹,

Asai²,

Honda³

et al. 2015

ENG

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GPS-based monitoring of land subsidence in the Po Plain (Northern Italy)

Cited by 96 publications

References 50 publications

Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

Monitoring of Land Subsidence in Ravenna Municipality Using Integrated Sar - GPS Techniques: Description and First Results

Ground Subsidence Following Groundwater Drawdown by Excavating of 500 m Deep Investigation Shafts in Granite Body in Mizunami, Central Japan in 2004-2012

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