On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling

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  • Clausthal University of Technology
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Original languageEnglish
Publication statusAccepted/In press - 2022
Event5th Joint International Symposium on Deformation Monitoring 2022 - Valencia, Spain
Duration: 20 Jun 202222 Jun 2022

Conference

Conference5th Joint International Symposium on Deformation Monitoring 2022
Abbreviated titleJISDM
Country/TerritorySpain
CityValencia
Period20 Jun 202222 Jun 2022

Abstract

Today, rapid growth in infrastructure development and urbanization process increases the attention for accurate deformation monitoring on a relatively large-scale. Furthermore, such deformation monitoring is of great importance in the assessment and management of natural hazard processes like landslides, earthquakes, and floods. In this study, the Persistent Scatterer Interferometry (PSI) technique is applied using open-source synthetic aperture radar (SAR) data from the satellite Sentinel-1. It allows point-wise deformation monitoring based on time series analysis of specific points. It also enables performing spatio-temporal area-based deformation monitoring. Currently, these data do not have a sophisticated quality assurance process to judge the significance of deformations. To obtain different quality classes of the Persistent Scatterer (PS) data points, the first step is to classify them into buildings and ground types using LoD2 building models. Next, time series analysis of the PS points is performed to model systematic and random errors. It allows estimation of the offset and the deformation rate for each point. Finally, spatio-temporal modelling of neighbourhood relations of the PS points is carried out using local geometric patches which are approximated with a mathematical model, such as, e.g., hierarchical B-Splines. Subsequently, the quality of SAR data from temporal and spatial neighbourhood relations is checked. Having an appropriate spatio-temporal quality model of the PS data, a deformation analysis is performed for areas of interest in the city of Hamburg. In the end, the results of the deformation analysis are compared with the BodenBewegungsdienst Deutschland (Ground Motion Service Germany) provided by the Federal Institute for Geosciences and Natural Resources (BGR), Germany.

Keywords

    Persistent Scatterer Interferometry (PSI), spatio-temporal, quality model, classification, robust parameter estimation, deformation analysis

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Cite this

On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling. / Omidalizarandi, Mohammad; Mohammadivojdan, Bahareh; Alkhatib, Hamza et al.
2022. Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain.

Research output: Contribution to conferencePaperResearchpeer review

Omidalizarandi, M, Mohammadivojdan, B, Alkhatib, H, Paffenholz, J-A & Neumann, I 2022, 'On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling', Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain, 20 Jun 2022 - 22 Jun 2022.
Omidalizarandi, M., Mohammadivojdan, B., Alkhatib, H., Paffenholz, J.-A., & Neumann, I. (Accepted/in press). On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling. Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain.
Omidalizarandi M, Mohammadivojdan B, Alkhatib H, Paffenholz JA, Neumann I. On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling. 2022. Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain.
Omidalizarandi, Mohammad ; Mohammadivojdan, Bahareh ; Alkhatib, Hamza et al. / On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling. Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain.
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Download

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AU - Omidalizarandi, Mohammad

AU - Mohammadivojdan, Bahareh

AU - Alkhatib, Hamza

AU - Paffenholz, Jens-André

AU - Neumann, Ingo

PY - 2022

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KW - spatio-temporal

KW - quality model

KW - classification

KW - robust parameter estimation

KW - deformation analysis

M3 - Paper

T2 - 5th Joint International Symposium on Deformation Monitoring 2022

Y2 - 20 June 2022 through 22 June 2022

ER -

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