scholarly journals Multi-Temporal Analysis of Land Subsidence in Toluca Valley (Mexico) through a Combination of Persistent Scatterer Interferometry (PSI) and Historical Piezometric Data

2014 ◽  
Vol 03 (02) ◽  
pp. 49-60 ◽  
Author(s):  
Norma Davila-Hernandez ◽  
Delfino Madrigal ◽  
Jose Luis Exposito ◽  
Xanat Antonio
Keyword(s):  
Land Subsidence ◽  
Temporal Analysis ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Multi Temporal ◽  
Toluca Valley

scholarly journals Multi-Temporal InSAR Analysis for Monitoring Ground Deformation in Amorgos Island, Greece

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 338 ◽  
Author(s):  
Stavroula Alatza ◽  
Ioannis Papoutsis ◽  
Demitris Paradissis ◽  
Charalampos Kontoes ◽  
Gerassimos A. Papadopoulos
Keyword(s):  
Ground Deformation ◽  
Temporal Analysis ◽  
Small Scale ◽  
Data Sets ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Spatial Coverage ◽  
Multi Temporal ◽  
Sar Imagery ◽  
Small Baseline

Radar Interferometry is a widely used method for estimating ground deformation, as it provides precision to a few millimeters to centimeters, and at the same time, a wide spatial coverage of the study area. On 9 July 1956, one of the strongest earthquakes of the 20th century in the area of the South Aegean, occurred in Amorgos, with a magnitude of Mw = 7.7. The objective of this research is to map ground deformation in Amorgos island, using InSAR techniques. We conducted a multi-temporal analysis of all available data from 2003 to 2019 by exploiting historical ENVISAT SAR imagery, as well as the dense archive of Sentinel-1 SLC imagery. Persistent Scatterer Interferometry (PS) and Small Baseline Subset (SBAS) methods were implemented. Results of both data-sets indicate a small-scale deformation on the island. A multi-track analysis was implemented on Sentinel-1 data to decompose the line of sight velocities to vertical and horizontal. The central south coast is experiencing horizontal movement, while uplift of a maximum value of 5 mm/y is observed in the southeastern coast. The combination of the good spatial coverage achievable via InSAR, with GPS measurements, is suggested an important tool for the seamless monitoring of Amorgos island towards tectonic hazard estimation.

scholarly journals INTEGRATING MULTI-TEMPORAL SAR IMAGES AND GPS DATA TO MONITOR THREE-DIMENSIONAL LAND SUBSIDENCE

2019 ◽  
Vol IV-3/W1 ◽  
pp. 9-16
Author(s):  
H. Ito ◽  
J. Susaki ◽  
T. Anahara
Keyword(s):  
Land Subsidence ◽  
Least Squares Method ◽  
Effective Means ◽  
Three Dimensional ◽  
Persistent Scatterer Interferometry ◽  
Sar Images ◽  
Persistent Scatterer ◽  
Multi Temporal ◽  
Interferometric Sar ◽  
Deformation Measurements

<p><strong>Abstract.</strong> Synthetic aperture radar (SAR) is an effective means of monitoring land subsidence, and differential interferometric SAR (DInSAR) is commonly used to acquire the necessary data. In particular, persistent scatterer interferometry (PSI) can be used to measure land subsidence accurately over a wide area from multi-temporal SAR images. However, the estimated displacement is obtained only in the radar line-of-sight (LOS) direction, making it necessary to develop a method for measuring three-dimensional displacements by combining multidirectional observations. Therefore, we propose herein a method for estimating three-dimensional displacement velocities by combining the results from PSI and geodetic deformation measurements, namely, Global Positioning System and leveling data. We apply the least-squares method to Kansai International Airport in Japan by using 13 ALOS-2/PALSAR-2 ascending images from 2014 to 2018 and 17 ALOS-2/PALSAR-2 descending images from 2015 to 2018. In validation, the rootmean- square errors are 14, 16, and 14 mm/year for the east–west, north–south, and vertical components, respectively, showing that combining PSI results and geodetic deformation measurements is effective for monitoring land subsidence.</p>

scholarly journals PSI-based methodology to land subsidence mechanism recognition

2015 ◽  
Vol 372 ◽  
pp. 357-360 ◽  
Author(s):  
R. Bonì ◽  
C. Meisina ◽  
C. Perotti ◽  
F. Fenaroli
Keyword(s):  
Land Subsidence ◽  
Vadose Zone ◽  
Northern Italy ◽  
Clay Soils ◽  
Soil Consolidation ◽  
Persistent Scatterer Interferometry ◽  
Temporal Scales ◽  
Po Plain ◽  
Persistent Scatterer ◽  
Spatio Temporal

Abstract. A methodology based on Persistent Scatterer Interferometry (PSI) is proposed in order to disentangle the contribution of different processes that act at different spatio-temporal scales in land subsidence (i.e. vadose zone processes as swelling/shrinkage of clay soils, soil consolidation and fluid extraction). The methodology was applied in different Italian geological contexts characterized by natural and anthropic processes (i.e. a Prealpine valley and the Po Plain in northern Italy).

scholarly journals Spatial Analysis of Land Subsidence in the San Luis Potosi Valley Induced by Aquifer Overexploitation Using the Coherent Pixels Technique (CPT) and Sentinel-1 InSAR Observation

2020 ◽  
Vol 12 (22) ◽  
pp. 3822
Author(s):  
María Inés Navarro-Hernández ◽  
Roberto Tomás ◽  
Juan M. Lopez-Sanchez ◽  
Abraham Cárdenas-Tristán ◽  
Jordi J. Mallorquí
Keyword(s):  
Land Subsidence ◽  
Strong Relationship ◽  
Satellite System ◽  
Groundwater Withdrawal ◽  
Persistent Scatterer Interferometry ◽  
San Luis ◽  
Persistent Scatterer ◽  
San Luis Potosi ◽  
Global Navigation Satellite ◽  
San Luis Potosí

The San Luis Potosi metropolitan area has suffered considerable damage from land subsidence over the past decades, which has become visible since 1990. This paper seeks to evaluate the effects of groundwater withdrawal on land subsidence in the San Luis Potosi Valley and the development of surface faults due to the differential compaction of sediments. For this purpose, we applied the Coherent Pixels Technique (CPT), a Persistent Scatterer Interferometry (PSI) technique, using 112 Sentinel-1 acquisitions from October 2014 to November 2019 to estimate the deformation rate. The results revealed that the deformation areas in the municipality of Soledad de Graciano Sánchez mostly exhibit subsidence values between −1.5 and −3.5 cm/year; whereas in San Luis Potosi these values are between −1.8 and −4.2 cm/year. The PSI results were validated by five Global Navigation Satellite System (GNSS) benchmarks available, providing a data correlation between the results obtained with both techniques of 0.986. This validation suggests that interferometric derived deformations agree well with results obtained from GNSS data. The strong relationship between trace fault, land subsidence,e and groundwater extraction suggests that groundwater withdrawal is resulting in subsidence induced faulting, which follows the pattern of structural faults buried by sediments.

scholarly journals PRELIMINARY INVESTIGATION OF THE LAND SUBSIDENCE PHENOMENA OCCURRING AT THE INDUSTRIAL-COMMERSIAL AREA OF ELEONAS, ATHENS, GREECE

2017 ◽  
Vol 50 (3) ◽  
pp. 1703
Author(s):  
A. Kaitantzian ◽  
C. Loupasakis
Keyword(s):  
Land Use ◽  
Land Subsidence ◽  
Preliminary Investigation ◽  
Current Work ◽  
Common Phenomenon ◽  
Persistent Scatterer Interferometry ◽  
Causal Factors ◽  
Hydrogeological Conditions ◽  
Persistent Scatterer ◽  
Vertical Displacements

Land subsidence is a common phenomenon occurring in several regions worldwide.The current work focus on the industrial-commersial area of Eleonas, Athens, where vertical displacements were identified by Persistent Scatterer Interferometry (PSI) analysis. The rate of deformation in the study area according to the PSI results, during the period from May 1992 to December 2000, ranged between -1.5 and -10 mm/yr. The evaluation of the geological, geotechnical and hydrogeological conditions of the area combined with the PSI data provided substantial information for the interpretation of the land subsidence phenomenon. Also, the knowledge of the land use distribution and the activities taking place in the area helped the detection of its causal factors.

scholarly journals PSINSAR IMPROVEMENT USING AMPLITUDE DISPERSION INDEX OPTIMIZATION OF DUAL POLARIMETRY DATA

2015 ◽  
Vol XL-1-W5 ◽  
pp. 175-177 ◽  
Author(s):  
M. Esmaeili ◽  
M. Motagh
Keyword(s):  
Single Channel ◽  
Optimization Method ◽  
High Rate ◽  
Dispersion Index ◽  
Scattering Mechanism ◽  
Persistent Scatterer Interferometry ◽  
Urban Regions ◽  
Persistent Scatterer ◽  
Multi Temporal ◽  
Sar Data

Persistent Scatterer Interferometry for SAR data (PSInSAR) improves the ability of conventional InSAR time-series methods by detecting and analysing pixels where the portion of spatiotemporal decorrelations on the phase is negligible. Using dual/quad polarized SAR data provide us with an additional source of information to improve further the capability of InSAR analysis. In this paper, we present a method to enhance PSInSAR using polarimetric optimization method on multi-temporal polarimetric SAR data. The optimization process has been implemented to minimize the Amplitude dispersion Index (ADI) of pixels in SAR images over the time based on the best scattering mechanism. We evaluated the method on a dataset including 17 dual polarization SAR data (HH/VV) acquired by TerraSAR-X data from July 2013 to January 2014 over Tehran plain, Iran. The area has been affected by high rate (> 20 cm/yr.) of surface subsidence due to groundwater overexploitation. The effectiveness of the method is compared for both agricultural and urban regions affected by land subsidence. Furthermore single pole and optimized polarization results are compared together and with external observations from GPS measurements. The results reveal that using optimum scattering mechanism decreases the ADI values in urban and non-urban regions and increase the PS Candidate pixels (PSC) about three times and subsequently improves the PS density about 50% more than using single channel datasets.

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