A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

Bonì, Roberta; Bosino, Alberto; Meisina, Claudia; Novellino, Alessandro; Bateson, Luke; McCormack, H.F.

doi:10.3390/rs10040607

Cited by 36 publications

(33 citation statements)

References 47 publications

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“…Aquifer mismanagement has always been a main triggering cause for ground deformation, as testified by numerous authors [5][6][7][8][9]21,25], with different mechanisms according to the type of aquifer involved. In this work, a pyroclastic-alluvial aquifer was investigated, analyzing the cause-effect relationship between groundwater level rise and ground deformation.…”

Section: Discussionmentioning

confidence: 99%

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Uplift Evidences Related to the Recession of Groundwater Abstraction in a Pyroclastic-Alluvial Aquifer of Southern Italy

Coda¹,

Confuorto²,

Vita³

et al. 2019

Geosciences

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Aquifer mismanagement is a common anthropogenic cause of subsidence and uplift phenomena in alluvial plains, representing one of the main natural hazards in urban areas due to related damage to urban structures and infrastructures. In this work, the groundwater rebound phenomenon that occurred in the last decades of the 20th century in the Lufrano area (Metropolitan area of Naples, Southern Italy) has been studied by integrating geological data, hydrogeological continuous monitoring and spaceborne SAR information derived from ERS-1/2 and ENVISAT satellites. In the period of 1989–2006, the Lufrano area, which hosts an important well field made up of 180 wells extracting groundwater for drinking use, suffered an initial over-exploitation of the aquifer which was followed by a sudden and severe decrease of the volume abstraction, resulting this last in a rapid ground uplift. The coupled analysis of hydrogeological and DInSAR data have shown a correspondence between piezometric level rise (up to 15 m) and ground uplift (up to 50 mm) trends in the period 1989–2006. In order to examine the spatio-temporal evolution of the phenomena and the cause-effect relationships, showing the link between the two phenomena and their rates, longitudinal cross-sections were carried out and comparisons between piezometric level rise and time-series of displacements were reconstructed. The obtained results represent an initial contribution to the definition of ground deformation related to groundwater level rise phenomena, providing a basis for future studies focused on the modelling of the hydro-mechanical properties of the aquifer.

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Section: Discussionmentioning

confidence: 99%

“…Such features are able to provide a deformation measurement over definite targets on the ground. DInSAR techniques have been largely implemented on large metropolitan areas such as Mexico City [15,16], Murcia [17], Rome [18], London [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Uplift Evidences Related to the Recession of Groundwater Abstraction in a Pyroclastic-Alluvial Aquifer of Southern Italy

Coda¹,

Confuorto²,

Vita³

et al. 2019

Geosciences

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“…The input data is the dataset of the principal score (PC) filtered using a threshold for the significant PC score selection (Bonì et al, 2016). The PC score is an output of the PCA, obtained for each target and useful to evaluate the correlations with the principal components in the whole dataset (Bonì et al, 2018); the higher values correspond to higher correlations with the analyzed PC (Jolliffe and Cadima, 2016).…”

Section: Ground Motion Areas (Gma) and Persistent Ground Motion Areasmentioning

confidence: 99%

Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series

et al. 2020

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In this work, an innovative methodology to generate the automatic ground motion areas mapping is presented. The methodology is based on the analysis of the Synthetic Aperture Radar (SAR)-based displacement time series. The procedure includes two modules developed using the ModelBuilder tool (ArcGis). These modules allow to identify the ground motion areas (GMA) using only one dataset and the persistent GMA (PGMA) considering the different monitored periods and datasets. These areas represent clusters of targets characterized by the same displacement time series trend. The procedure was tested using different sensors such as ERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 covering the periods

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“…Advanced InSAR techniques enable time series analysis of multi-temporal SAR data and provide a good set of tools for ground deformation measurements with millimeter precision [13][14][15]. Previous studies used multi-temporal InSAR technique for analysis of land subsidence due to over exploitation of groundwater [16][17][18][19][20], urban area deformation [21][22][23][24], mining region stability [25][26][27], landslide phenomena [28][29][30], sinkhole detection [31,32] and seismic events [33,34].…”

Section: Introductionmentioning

confidence: 99%

Ground Deformation Analysis of Bolvadin (W. Turkey) by Means of Multi-Temporal InSAR Techniques and Sentinel-1 Data

et al. 2019

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Surface deformations were observed in Bolvadin, located in the province of Afyon (western Turkey) in the last decade which occurred without any destructive earthquakes. In this study, ground deformation of the Bolvadin region is analyzed by means of multi-temporal interferometric synthetic aperture radar (InSAR) technique with Sentinel-1 synthetic aperture radar (SAR) data. Sentinel-1 data acquired in ascending and descending orbits between October 2014 and October 2018 are processed with the Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) open source software tools. Deformation velocity maps and line-of-sight (LOS) displacement time series are produced and compared with geology, groundwater level and the water surface area of Eber Lake nearby. Deformation velocity maps reveal significant subsidence in most of the town and surrounding regions, which is confirmed by field observations that show severe damage to the settlements and infrastructure of the town. The most severe subsidence is observed to be in the southern part of Bolvadin with rates up to 35 mm/year, which is characterized by the presence of soft alluvial deposits. Composed of slope debris/talus and conglomerate, the northeastern part of the deforming region experiences a relatively lower rate of subsidence. A strong correlation between LOS displacement time series and groundwater level exists both in the short and long term. Moreover, short term variations in LOS displacement time series also show high similarity with seasonal variations in the water surface area of Eber Lake located a few km southeast of the town. We conclude that the primary cause of subsidence is most probably the overexploitation of groundwater and hydrological changes because of (1) the strong correlation of subsidence with lithological units, (2) the similarity between deformation rate and groundwater level changes, (3) the correspondence of seasonal variations in water surface area and short-term deformation rate oscillations, and (4) the absence of InSAR velocity contrast across the active faults.

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A Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data

Cited by 36 publications

References 47 publications

Uplift Evidences Related to the Recession of Groundwater Abstraction in a Pyroclastic-Alluvial Aquifer of Southern Italy

Uplift Evidences Related to the Recession of Groundwater Abstraction in a Pyroclastic-Alluvial Aquifer of Southern Italy

Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series

Ground Deformation Analysis of Bolvadin (W. Turkey) by Means of Multi-Temporal InSAR Techniques and Sentinel-1 Data

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