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.

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 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 Web-based interactive visualization of PS-InSAR point clouds for education and training

2014 ◽  
Vol II-6 ◽  
pp. 7-12 ◽  
Author(s):  
D. Liang ◽  
T. Balz ◽  
Z. Y. Wang ◽  
L. H. Wei ◽  
M.S. Liao
Keyword(s):  
Remote Sensing ◽  
Interactive Visualization ◽  
Point Clouds ◽  
Education And Training ◽  
Persistent Scatterer Interferometry ◽  
Web Based ◽  
Radar Remote Sensing ◽  
Surface Motion ◽  
Persistent Scatterer ◽  
And Training

In radar remote sensing education and training, only few people have a good knowledge of radar remote sensing and geology, which would be necessary fully analyse the surface motions estimated by persistent scatterer interferometry. Using scientific visualization, data can be presented in an intuitive way for surface motion analysis of non-radar experts. In this paper, we introduce a web-based interactive visualization of PS-InSAR point clouds for education and training.

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

scholarly journals INVESTIGATION OF THE GROUND MOTION NEAR THE LEANING TOWER OF BAD FRANKENHAUSEN USING SENTINEL-1 PERSISTENT SCATTERER INTERFEROMETRY

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 305-312
Author(s):  
J. Jänichen ◽  
C. Dubois ◽  
M. Wolsza ◽  
N. Salepci ◽  
C. Schmullius
Keyword(s):  
Precise Determination ◽  
Persistent Scatterer Interferometry ◽  
Motion Models ◽  
The North ◽  
Persistent Scatterer ◽  
Data Resolution ◽  
Geophysical Processes ◽  
Displacement Pattern ◽  
Deformation Patterns ◽  
The Church

Abstract. Persistent Scatterer Interferometry (PSI) is a well-established technique for monitoring millimetre deformation of the Earth’s surface. The availability of free and open SAR data with a repeat cycle of 6–12 days from the Copernicus mission Sentinel-1, allows PSI to be used complementary to traditional surveying techniques. Whilst the data resolution may not allow a precise determination of the geolocation of the occurring deformation, observed deformation patterns can be analysed with auxiliary data and often show correlation with the location of geophysical processes or human activities. In this paper, we investigate the particular case of the church tower of Bad-Frankenhausen in the north of the Free State Thuringia, Germany, with PSI processing of Sentinel-1 data. Both pass directions (descending and ascending) are considered, and different motion models are tested in order to retrieve the most accurate displacement pattern around the church location. Deformation up to −6 mm/yr are observed near the church location for the period 2016–2019 in ascending direction.

scholarly journals Remote Sensing for Cultural Heritage Assessment and Monitoring: The Case Study of Alba Iulia

2021 ◽  
Vol 13 (3) ◽  
pp. 1406 ◽  
Author(s):  
Cristian Moise ◽  
Iulia Dana Negula ◽  
Cristina Elena Mihalache ◽  
Andi Mihai Lazar ◽  
Andreea Luminita Dedulescu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Heritage Management ◽  
Time Interval ◽  
Urban Landscapes ◽  
Persistent Scatterer Interferometry ◽  
Heritage Site ◽  
Depth Analysis ◽  
Assessment And Monitoring ◽  
Historical Past

In recent times, satellite-based remote sensing has a growing role in archaeology and inherently in the cultural heritage management process. This paper demonstrates the potential and usefulness of satellite imagery for the documentation, mapping, monitoring, and in-depth analysis of cultural heritage and the archaeological sites located in urban landscapes. The study focuses on the assessment and monitoring of Alba Iulia, which is one of the Romanian cities with the richest historical past. Multitemporal analysis was performed to identify the land use/land cover changes that might contribute to an increased cultural heritage vulnerability to natural disasters. A special emphasis was dedicated to the assessment of the built-up area growth and consequently of the urbanization trend over a large time interval (30 years). Next, the urbanization and urban area expansion impact was further analyzed by concentrating on the urban heat island within Alba Iulia city and Alba Iulia Fortress (located in the center of the city). As temperature change represents a key element of climate change, the temperature trend within the same temporal framework and its impact on cultural heritage were determined. In the end, with regard to the cultural heritage condition assessment, the research was complemented with an assessment of the urban ground and individual building stability, using persistent scatterer interferometry. The results contribute to the detailed depiction of the cultural heritage site in such a manner that the site is monitored over an extensive timeframe, its current state of conservation is accurately determined, and the future trends can be identified. In conclusion, the present study offers reliable results regarding the main factors that might endanger the cultural heritage site as a basis for future preservation measures.

scholarly journals Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets

2019 ◽  
Vol 11 (14) ◽  
pp. 1675 ◽  
Author(s):  
Tomás ◽  
Pagán ◽  
Navarro ◽  
Cano ◽  
Pastor ◽  
...  
Keyword(s):  
Regional Scale ◽  
Central Italy ◽  
Geographical Information ◽  
External Information ◽  
Automatic Identification ◽  
Persistent Scatterer Interferometry ◽  
Active Deformation ◽  
Persistent Scatterers ◽  
Persistent Scatterer ◽  
Map Scale

This work describes a new procedure aimed to semi-automatically identify clusters of active persistent scatterers and preliminarily associate them with different potential types of deformational processes over wide areas. This procedure consists of three main modules: (i) ADAfinder, aimed at the detection of Active Deformation Areas (ADA) using Persistent Scatterer Interferometry (PSI) data; (ii) LOS2HV, focused on the decomposition of Line Of Sight (LOS) displacements from ascending and descending PSI datasets into vertical and east-west components; iii) ADAclassifier, that semi-automatically categorizes each ADA into potential deformational processes using the outputs derived from (i) and (ii), as well as ancillary external information. The proposed procedure enables infrastructures management authorities to identify, classify, monitor and categorize the most critical deformations measured by PSI techniques in order to provide the capacity for implementing prevention and mitigation actions over wide areas against geological threats. Zeri, Campiglia Marittima–Suvereto and Abbadia San Salvatore (Tuscany, central Italy) are used as case studies for illustrating the developed methodology. Three PSI datasets derived from the Sentinel-1 constellation have been used, jointly with the geological map of Italy (scale 1:50,000), the updated Italian landslide and land subsidence maps (scale 1:25,000), a 25 m grid Digital Elevation Model, and a cadastral vector map (scale 1:5,000). The application to these cases of the proposed workflow demonstrates its capability to quickly process wide areas in very short times and a high compatibility with Geographical Information System (GIS) environments for data visualization and representation. The derived products are of key interest for infrastructures and land management as well as decision-making at a regional scale.

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