Details
Original language | English |
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Publication status | Accepted/In press - 2022 |
Event | 5th Joint International Symposium on Deformation Monitoring 2022 - Valencia, Spain Duration: 20 Jun 2022 → 22 Jun 2022 |
Conference
Conference | 5th Joint International Symposium on Deformation Monitoring 2022 |
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Abbreviated title | JISDM |
Country/Territory | Spain |
City | Valencia |
Period | 20 Jun 2022 → 22 Jun 2022 |
Abstract
Keywords
- Persistent Scatterer Interferometry (PSI), spatio-temporal, quality model, classification, robust parameter estimation, deformation analysis
Sustainable Development Goals
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2022. Paper presented at 5th Joint International Symposium on Deformation Monitoring 2022, Valencia, Spain.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - On the Quality Checking of Persistent Scatterer Interferometry by spatial-temporal modelling
AU - Omidalizarandi, Mohammad
AU - Mohammadivojdan, Bahareh
AU - Alkhatib, Hamza
AU - Paffenholz, Jens-André
AU - Neumann, Ingo
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Persistent Scatterer Interferometry (PSI)
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 -