Railways' stability observed in Campania (Italy) by InSAR data

Poreh, Davod; Iodice, Antonio; Riccio, Daniele; Ruello, Giuseppe

doi:10.5721/eujrs20164923

Cited by 24 publications

(19 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Persistent Scatterer Interferometry (PSI) has been employed for more than 15 years to monitor the surface of the earth. PSI and similar techniques have been proposed in the last decades [32][33][34][35][36][37], [25,31]. PSI technique developed is by researchers at the Politecnico di Milano (POLIMI), and they named the procedure, Permanent/Persistent Scatterers Interferometry [25,32].…”

Section: Interferometric Sar and Psimentioning

confidence: 99%

InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City

Poreh¹,

Pirasteh²

2019

Preprint

Self Cite

View full text Add to dashboard Cite

This study presents an analysis of subsidence rates and their effects on Mexico City. Mexico City is well known for its subsidence as a result of excess water withdrawal for many years. This study focuses on this problem utilizing the integration of Interferometric Synthetic Aperture Radar (InSAR), Continuous Global Positioning Systems (CGPS), and optical remote sensing data. Fifty-two ENVISAT-ASAR, nine GPS stations, and one Landsat ETM+ image from Mexico City area have been analyzed to prepare a better understanding of the subsidence rates and its effects on Mexico City’s commune. This study has utilized InSAR methods. It includes differential interferometry and Persistent Scatter Interferometry (PSI) to monitor the existing subsidence in the Mexico City area. The InSAR data covers the temporal baseline between 2002 until June 2010, and the GPS data include temporal baseline from 1998 until 2012. Maximum of 352 mm annually change in Line Of Sight (LOS) direction is in agreement with the previous geodetic studies. InSAR data have been compared with CGPS data at the same time interval. The finding of this study reveals a high amount of correlation (up to 0.98) between two independent geodetic methods. We also implemented the Support Vector Machine (SVM) analysis method based on Landsat ETM+ image to classify Mexico City’s populated density area. This method performed comparing the subsidence rates with populated area buildings. This integrated study shows that the fastest subsidence zone (i.e., areas greater than 100 mm/yr) in the over mentioned temporal baseline occurs in the high and sparsely populated areas

show abstract

Section: Interferometric Sar and Psimentioning

confidence: 99%

InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City

Poreh¹,

Pirasteh²

2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [33], first results on Cosmo-SkyMed data are reported, obtained by using the SPINUA (Stable Point Interferometry over Un-urbanised Areas) algorithm. We more recently performed a new analysis [34] by using a different algorithm [18]. Results of this analysis are recalled in the following.…”

Section: Modern Railway Engineeringmentioning

confidence: 99%

“…However, Figure 5. Mean displacement rates of PSs on the railways and statistics of these PSs (for more details see [34]). …”

mentioning

confidence: 99%

Railways’ Stability Observation by Satellite Radar Images

Poreh¹,

Iodice²,

Riccio³

et al. 2018

Modern Railway Engineering

Self Cite

View full text Add to dashboard Cite

Remote sensing has many vital civilian applications. Space-borne Interferometric Synthetic Aperture Radar has been used to measure the Earth's surface deformation widely. In particular, Persistent Scatterer Interferometry (PSI) is designed to estimate the temporal characteristics of the Earth's deformation rates from multiple InSAR images acquired over time. This chapter reviews the space-borne Differential Interferometric Synthetic Aperture Radar techniques that have shown their capabilities in monitoring of railways displacements. After description of the current state of the art and potentials of the available radar remote sensing techniques, one case study is examined, pertaining to a railway bridge in the Campania region, Italy.

show abstract

“…Persistent Scatterer Interferometry (PSI) has been employed for more than 15 years to monitor the surface of the Earth. In the last two decades, PSI and similar techniques have been proposed as well (Usai and Hanssen 1997;Hanssen 2001;Ferretti et al 2001;Lanari et al 2004;Salvi et al 2004;Poreh et al 2017;Farolfi et al 2019). Developed by researchers at the Politecnico di Milano (POLIMI), the procedure of the PSI technique is known as Permanent/Persistent Scatterers Interferometry (Ferretti et al 1999;Wang et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM

Poreh

Pirasteh

Cabral‐Cano³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

This study presents an enhanced analysis of the subsidence rates and their effects on Mexico City. As a result of excess water withdrawal, Mexico City is experiencing subsidence. To analyze this subsidence of Mexico City, we integrated and analyzed Interferometric Synthetic Aperture Radar (InSAR), Continuous Global Positioning Systems (CGPS), and optical remote sensing data. This study utilized 52 ENVISAT-ASAR, nine GPS stations, and one Landsat ETM+ image from the Mexico City area to gather a better understanding of the subsidence rates and its effects on Mexico City’s community. The finding of this study reveals a high amount of correlation (up to 0.98) between two independent geodetic methods. We also implemented the Support Vector Machine (SVM) analysis method based on Landsat ETM+ image to classify Mexico City’s population density. We used SVM to compare Persistent Scatterer Interferometry (PSI) subsidence rates with the buildings’ distribution densities. This integrated study shows that the fastest subsidence zone (i.e. areas greater than 100 mm/yr), which falls into the above-mentioned temporal baseline, occurs in the areas of high and moderate building distribution density.

show abstract

Railways' stability observed in Campania (Italy) by InSAR data

Cited by 24 publications

References 24 publications

InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City

InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City

Railways’ Stability Observation by Satellite Radar Images

Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM

Contact Info

Product

Resources

About