Ground Motion Patterns Analysis from the National Persistent Scatterer Deformation Map of Romania

Author(s):  
Stefan-Adrian Toma ◽  
Delia Teleaga ◽  
Valentin Poncos ◽  
Cristian Grozea
2020 ◽  
Vol 12 (19) ◽  
pp. 3207
Author(s):  
Ioannis Papoutsis ◽  
Charalampos Kontoes ◽  
Stavroula Alatza ◽  
Alexis Apostolakis ◽  
Constantinos Loupasakis

Advances in synthetic aperture radar (SAR) interferometry have enabled the seamless monitoring of the Earth’s crust deformation. The dense archive of the Sentinel-1 Copernicus mission provides unprecedented spatial and temporal coverage; however, time-series analysis of such big data volumes requires high computational efficiency. We present a parallelized-PSI (P-PSI), a novel, parallelized, and end-to-end processing chain for the fully automated assessment of line-of-sight ground velocities through persistent scatterer interferometry (PSI), tailored to scale to the vast multitemporal archive of Sentinel-1 data. P-PSI is designed to transparently access different and complementary Sentinel-1 repositories, and download the appropriate datasets for PSI. To make it efficient for large-scale applications, we re-engineered and parallelized interferogram creation and multitemporal interferometric processing, and introduced distributed implementations to best use computing cores and provide resourceful storage management. We propose a new algorithm to further enhance the processing efficiency, which establishes a non-uniform patch grid considering land use, based on the expected number of persistent scatterers. P-PSI achieves an overall speed-up by a factor of five for a full Sentinel-1 frame for processing in a 20-core server. The processing chain is tested on a large-scale project to calculate and monitor deformation patterns over the entire extent of the Greek territory—our own Interferometric SAR (InSAR) Greece project. Time-series InSAR analysis was performed on volumes of about 12 TB input data corresponding to more than 760 Single Look Complex Sentinel-1A and B images mostly covering mainland Greece in the period of 2015–2019. InSAR Greece provides detailed ground motion information on more than 12 million distinct locations, providing completely new insights into the impact of geophysical and anthropogenic activities at this geographic scale. This new information is critical to enhancing our understanding of the underlying mechanisms, providing valuable input into risk assessment models. We showcase this through the identification of various characteristic geohazard locations in Greece and discuss their criticality. The selected geohazard locations, among a thousand, cover a wide range of catastrophic events including landslides, land subsidence, and structural failures of various scales, ranging from a few hundredths of square meters up to the basin scale. The study enriches the large catalog of geophysical related phenomena maintained by the GeObservatory portal of the Center of Earth Observation Research and Satellite Remote Sensing BEYOND of the National Observatory of Athens for the opening of new knowledge to the wider scientific community.


2020 ◽  
Vol 34 (10) ◽  
pp. 1607-1627
Author(s):  
Alessandra Menafoglio ◽  
Sara Sgobba ◽  
Giovanni Lanzano ◽  
Francesca Pacor

Abstract This work offers a novel methodological framework to address the problem of generating data-driven earthquake shaking fields at different vibration periods, which are key to support decision making and civil protection planning. We propose to analyse the entire profiles of spectral accelerations and project their information content to unsampled locations in the system, based on the theory of Object Oriented Spatial Statistics. The proposed methodology combines a non-ergodic ground motion model with a fully functional model for the residual term, the latter consisting of (i) the spatially-varying systematic effects due to source, site and path, and (ii) the remaining aleatory error. The proposed methodology allows to generate multiple shaking scenarios conditioned on the data, jointly and consistently for all the vibration periods, overcoming the intrinsic limitations of existing multivariate approaches to the problem. The approach is tested on a vast dataset of ground motion records collected in the study-area of the Po Plain (Northern Italy), for which a region-specific fully non-ergodic GMM was previously calibrated. Our validation tests demonstrate the potentiality of the approach, which is capable to effectively simulate spectral acceleration profiles, while keeping the ability to capture the main physical features of ground motion patterns in the region.


2019 ◽  
Vol 9 (3) ◽  
pp. 108
Author(s):  
Enton Bedini

Persistent Scatterer Interferometry (PSI) analysis of Sentinel-1 C-band radar spaceborne imagery was carried out to detect ground subsidence zones in the city of Tirana, Albania. Fifty-eight Sentinel-1A Interferometric Wide (IW) images of the time period January 2017 – December 2018, with a temporal resolution of 12 days, were used as input to the PSI. The PSI technique can detect millimeter-scale ground motion. The results show a zone of ground subsidence of about 7 mm/year along a segment of the Tirana Outer Ring road, where numerous tall buildings have been constructed in the last twenty years. In the northern part of the Kamza municipality a ground subsidence of about 2-3 mm/year is observed. In the western part of the Kamza municipality, it is also observed a ground subsidence of about 7 mm/year. In general, the areas where ground subsidence was detected from the PSI analysis, are characterized by urban expansion in the last thirty years. The ground subsidence could be a result of the lowering of the water table from the construction works or from over exploitation of groundwater resources. The study represents the first reported analysis of the Sentinel-1 imagery for ground motion detection in the city of Tirana. Further monitoring and detailed studies on the causes of the ground subsidence in this important urban area are necessary.


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