scholarly journals A Persistent Scatterer Interferometry Procedure Based on Stable Areas to Filter the Atmospheric Component

2018 ◽  
Vol 10 (11) ◽  
pp. 1780 ◽  
Author(s):  
Michele Crosetto ◽  
Núria Devanthéry ◽  
Oriol Monserrat ◽  
Anna Barra ◽  
María Cuevas-González ◽  
...  
Keyword(s):  
Thermal Expansion ◽  
Persistent Scatterer Interferometry ◽  
Phase Component ◽  
Atmospheric Component ◽  
Persistent Scatterer ◽  
Land Deformation ◽  
Original Part ◽  
Monitoring Area ◽  
Construction Works

This paper describes a Persistent Scatterer Interferometry (PSI) procedure to monitor the land deformation in an urban area induced by aquifer dewatering and the consequent drawdown of the water table. The procedure, based on Sentinel-1 data, is illustrated considering the construction works of Glories Square, Barcelona (Spain). The study covers a period from March 2015 to November 2017, which includes a dewatering event in spring 2017. This paper describes the proposed procedure, whose most original part includes the estimation of the atmospheric phase component using stable areas located in the vicinity of the monitoring area. The performances of the procedure are analysed, characterising the original atmospheric phase component and the residual one that remains after modelling the atmospheric contribution. This procedure can work with any type of deformation phenomena, provided that its spatial extension is sufficiently small. The quality of the obtained time series is illustrated discussing different deformation results, including a validation result using piezometric data and a thermal expansion case.

scholarly journals A PERSISTENT SCATTERER INTERFEROMETRY PROCEDURE TO MONITOR URBAN SUBSIDENCE

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1921-1926 ◽  
Author(s):  
M. Crosetto ◽  
O. Monserrat ◽  
A. Barra ◽  
M. Cuevas-González ◽  
V. Krishnakumar ◽  
...  
Keyword(s):  
Deformation Monitoring ◽  
Persistent Scatterer Interferometry ◽  
Phase Component ◽  
Water Pumping ◽  
Persistent Scatterer ◽  
Original Part ◽  
Comprehensive Characterization ◽  
Construction Works

<p><strong>Abstract.</strong> This paper describes a Persistent Scatterer Interferometry procedure for deformation monitoring. Its more original part concerns an approach to estimate the atmospheric phase component. The procedure can be used to monitor deformation areas that are relatively small and are surrounded by stable areas. The proposed procedure is described step by step. The procedure can be applied using SAR data coming from different sensors. However, in this work we discuss results obtained using Sentinel-1 data. A case study is described, where the deformation is caused by water pumping associated with construction works. In this case study, a stack of 78 Sentinel-1 images were analysed. The main part of the paper concerns the analysis of the atmospheric component. A comprehensive characterization of this component is first described, considering the original non-filtered phases. This is followed by the characterization of the residual filtered phases. This analysis highlights the goodness of the proposed procedure. This is further confirmed by the analysis of two deformation time series. The procedure can work with any type of deformation phenomena, provided that its spatial extension is sufficiently small.</p>

scholarly journals Measuring thermal expansion using X-band persistent scatterer interferometry

2015 ◽  
Vol 100 ◽  
pp. 84-91 ◽  
Author(s):  
Michele Crosetto ◽  
Oriol Monserrat ◽  
María Cuevas-González ◽  
Núria Devanthéry ◽  
Guido Luzi ◽  
...  
Keyword(s):  
Thermal Expansion ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
X Band

scholarly journals 3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 12395-12404 ◽  
Author(s):  
Pakhrur Razi ◽  
Josaphat Tetuko Sri Sumantyo ◽  
Daniele Perissin ◽  
Hiroaki Kuze ◽  
Ming Yam Chua ◽  
...  
Keyword(s):  
Deformation Monitoring ◽  
Persistent Scatterer Interferometry ◽  
Alos Palsar ◽  
Persistent Scatterer ◽  
Land Deformation

The Thermal Expansion Component of Persistent Scatterer Interferometry Observations

2011 ◽  
Vol 8 (5) ◽  
pp. 864-868 ◽  
Author(s):  
Oriol Monserrat ◽  
Michele Crosetto ◽  
María Cuevas ◽  
Bruno Crippa
Keyword(s):  
Thermal Expansion ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer

scholarly journals DATA OPTIMALIZATION IN PERMANENT SCATTERER INTERFEROMETRIC SYNTHETIC APERTURE RADAR (PS-INSAR) TECHNIQUE FOR LAND SUBSIDENCE ESTIMATION

2018 ◽  
Author(s):  
Ketut Wikantika
Keyword(s):  
Land Subsidence ◽  
Research Data ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Alos Palsar ◽  
Persistent Scatterer ◽  
Land Deformation ◽  
L Band

Since the introduction of the persistent scatterer technique (PS-InSAR) in the early 1999, the applicability of radar interferometry has increased considerably.In this research, PS-InSAR technique is proposed to retrieve the volume change of long-term continuously land deformation. This technique is used to analyze subsidence in Bandung City, West Java-Indonesia by assessing 19 ALOS PALSAR images (Japanese L band spaceborne) during the periods of July 2007-February 2011. In this research, data are optimized by reducing set data images with iterative PS-InSAR processing. This PS-InSAR processing chain based on a rigid quality assessment of the estimated parameter like minimum coherence (0.9) and PS density point (200), in order to get an optimum quality of light PS-InSAR (LPS-InSAR) concept technique. Moreover, a strict quality validation of PS-InSAR with other geodetic techniques such as DInSAR and GPS methods. The result of validation has resulted such as 1,4 ± 1,4 cm/year (PS InSAR-DInSAR) and 1,6 ± 0,7 cm/year (PS-InSAR-GPS). For land subsidence velocity in Bandung City has results between 0,6 ± 0,4 cm/year and 2,1 ± 1,2 cm/year. This research shows a capability of data optimalization in PS-InSAR technique as basic concept of LPS-InSAR processing.

scholarly journals Exploitation of the full potential of PSI data for subsidence monitoring

2015 ◽  
Vol 372 ◽  
pp. 311-314 ◽  
Author(s):  
M. Crosetto ◽  
N. Devanthéry ◽  
M. Cuevas-González ◽  
O. Monserrat ◽  
B. Crippa
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Full Potential ◽  
Persistent Scatterer Interferometry ◽  
Sar Images ◽  
Remote Sensing Technique ◽  
Persistent Scatterer ◽  
Land Deformation ◽  
Interferometric Sar ◽  
Subsidence Monitoring

Abstract. Persistent Scatterer Interferometry (PSI) is a remote sensing technique used to measure and monitor land deformation from a stack of interferometric SAR images. The main products that can be derived using the PSI technique are the deformation maps and the time series of deformation. In this paper, an approach to apply the PSI technique to a stack of Sentinel-1 images is described. Moreover, the problems encountered during the processing are detailed and an explanation of how they were dealt with is provided. Finally, Sentinel-1 deformation maps and time series obtained over the metropolitan area of Mexico DF are shown.

scholarly journals PSI Clustering for the Assessment of Underground Infrastructure Deterioration

2020 ◽  
Vol 12 (22) ◽  
pp. 3681
Author(s):  
Nicola Amoroso ◽  
Roberto Cilli ◽  
Loredana Bellantuono ◽  
Vincenzo Massimi ◽  
Alfonso Monaco ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Clustering Algorithm ◽  
Detection System ◽  
Persistent Scatterer Interferometry ◽  
Critical Areas ◽  
Persistent Scatterer ◽  
Underground Infrastructure ◽  
Italian Provinces ◽  
Land Deformation ◽  
Deformation Patterns

Remote sensing images find application in several different domains, such as land cover or land usage observation, environmental monitoring, and urbanization. This latter field has recently witnessed an interesting development with the use of remote sensing for infrastructural monitoring. In this work, we present an analysis of Sentinel-1 images, which were used to monitor the Italian provinces of Bologna and Modena located at the Emilia Region Apennines foothill. The goal of this study was the development of a machine learning-based detection system to monitor the deterioration of public aqueduct infrastructures based on Persistent Scatterer Interferometry (PSI). We evaluated the land deformation over a temporal range of five years; these series feed a k-means clustering algorithm to separate the pixels of the region according to different deformation patterns. Furthermore, we defined the critical areas as those areas where different patterns collided or overlapped. The proposed approach provides an informative tool for the structural health monitoring of underground infrastructures.

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