Surface displacement estimation using space-borne SAR interferometry in a small portion along Himalayan Frontal Fault

2014 ◽  
Vol 53 ◽  
pp. 164-178 ◽  
Author(s):  
Atanu Bhattacharya ◽  
Manoj K. Arora ◽  
Mukat L. Sharma ◽  
Malte Vöge ◽  
Raginder Bhasin
Keyword(s):  
Surface Displacement ◽  
Sar Interferometry ◽  
Displacement Estimation

scholarly journals Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas

2018 ◽  
Vol 10 (9) ◽  
pp. 1360 ◽  
Author(s):  
Tazio Strozzi ◽  
Sofia Antonova ◽  
Frank Günther ◽  
Eva Mätzler ◽  
Gonçalo Vieira ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Displacement ◽  
Deformation Monitoring ◽  
In Situ Measurements ◽  
River Delta ◽  
Sar Interferometry ◽  
The Arctic ◽  
Lena River ◽  
Lena River Delta

Low-land permafrost areas are subject to intense freeze-thaw cycles and characterized by remarkable surface displacement. We used Sentinel-1 SAR interferometry (InSAR) in order to analyse the summer surface displacement over four spots in the Arctic and Antarctica since 2015. Choosing floodplain or outcrop areas as the reference for the InSAR relative deformation measurements, we found maximum subsidence of about 3 to 10 cm during the thawing season with generally high spatial variability. Sentinel-1 time-series of interferograms with 6–12 day time intervals highlight that subsidence is often occurring rather quickly within roughly one month in early summer. Intercomparison of summer subsidence from Sentinel-1 in 2017 with TerraSAR-X in 2013 over part of the Lena River Delta (Russia) shows a high spatial agreement between both SAR systems. A comparison with in-situ measurements for the summer of 2014 over the Lena River Delta indicates a pronounced downward movement of several centimetres in both cases but does not reveal a spatial correspondence between InSAR and local in-situ measurements. For the reconstruction of longer time-series of deformation, yearly Sentinel-1 interferograms from the end of the summer were considered. However, in order to infer an effective subsidence of the surface through melting of excess ice layers over multi-annual scales with Sentinel-1, a longer observation time period is necessary.

Study of ground surface displacement estimation using ALOS/PALSAR D-InSAR interferometry

2007 ◽  
Author(s):  
Atsushi Iwashita ◽  
Marina Kudo ◽  
Hisatoshi Baba ◽  
Toshikazu Morohoshi ◽  
Masanao Hara ◽  
...  
Keyword(s):  
Ground Surface ◽  
Surface Displacement ◽  
Alos Palsar ◽  
Displacement Estimation

scholarly journals ESTIMATION OF SURFACE DEFORMATION DUE TO PASNI EARTHQUAKE USING SAR INTERFEROMETRY

2018 ◽  
Vol XLII-3 ◽  
pp. 23-29 ◽  
Author(s):  
M. Ali ◽  
M. I. Shahzad ◽  
M. Nazeer ◽  
J. H. Kazmi
Keyword(s):  
Strong Earthquake ◽  
Surface Deformation ◽  
Sea Water ◽  
Ground Deformation ◽  
Surface Displacement ◽  
Vertical Displacement ◽  
Sar Interferometry ◽  
Building Structures ◽  
Major Surface ◽  
Ground Displacements

Earthquake cause ground deformation in sedimented surface areas like Pasni and that is a hazard. Such earthquake induced ground displacements can seriously damage building structures. On 7 February 2017, an earthquake with 6.3 magnitudes strike near to Pasni. We have successfully distinguished widely spread ground displacements for the Pasni earthquake by using InSAR-based analysis with Sentinel-1 satellite C-band data. The maps of surface displacement field resulting from the earthquake are generated. Sentinel-1 Wide Swath data acquired from 9 December 2016 to 28 February 2017 was used to generate displacement map. The interferogram revealed the area of deformation. The comparison map of interferometric vertical displacement in different time period was treated as an evidence of deformation caused by earthquake. Profile graphs of interferogram were created to estimate the vertical displacement range and trend. Pasni lies in strong earthquake magnitude effected area. The major surface deformation areas are divided into different zones based on significance of deformation. The average displacement in Pasni is estimated about 250 mm. Maximum pasni area is uplifted by earthquake and maximum uplifting occurs was about 1200 mm. Some of areas was subsidized like the areas near to shoreline and maximum subsidence was estimated about 1500 mm. Pasni is facing many problems due to increasing sea water intrusion under prevailing climatic change where land deformation due to a strong earthquake can augment its vulnerability.

Estimating surface displacement in the Hanshin area, Japan, by PS-InSAR analysis using satellite Sentinel-1 data

2021 ◽  
Author(s):  
Yutaro Shigemitsu ◽  
Kazuya Ishitsuka ◽  
Weiren Lin
Keyword(s):  
Fault Zone ◽  
Groundwater Level ◽  
Active Faults ◽  
Surface Displacement ◽  
Sar Interferometry ◽  
Surface Displacements ◽  
Active Segment ◽  
2018 Northern Osaka Earthquake ◽  
Groundwater Level Changes

<p>The 2018 northern Osaka earthquake with a magnitude 6.1 earthquake struck on June 18, 2018 in northern Osaka, causing enormous damage. SAR interferometry using satellite synthetic aperture radar (SAR) data can detect surface displacement distribution over a wide area and is effective for observing surface displacement during an earthquake. On the other hand, it is also important to observe the tendency of long-term surface displacement around active faults on a yearly basis in order to monitor the deformation at and around active faults. In this study, we used persistent scatter SAR interferometry (PS-InSAR) to clarify the recent surface displacement including before and after the 2018 northern Osaka earthquake near the Arima-Takatsuki Fault Zone and the Mt. Rokko active segment, near the epicenter of the earthquake. PS-InSAR analysis is a method that analyzes coherent pixels only, and can extract surface displacements with less noise than the conventional two-pass SAR interferometry. By using Sentinel-1 data, we expect to understand a long-term surface displacement and temporal changes in displacement pattern by comparing with the results using other satellites in previous studies. As a result of our analysis, we found that (i) ground subsidence occurred near the Mt. Rokko active segment, (ii) subsidence or eastward displacement occurred in the eastern part of the Takarazuka GNSS station, (iii) surface displacement in the wedge-shaped area located between the Arima-Takatsuki Fault Zone and the Mt. Rokko active segment is suggested to be caused by groundwater level changes, (iv) groundwater level changes may have caused surface displacement considered to be uplift in the wide area between the Ikoma Fault Zone and Uemachi Fault Zone, and (v) slip of the source fault may have caused surface displacement around the epicenter of the 2018 northern Osaka earthquake. Furthermore, we validated the estimated surface displacements by comparison with GNSS measurements and previous studies. These results suggest that surface displacement near the Arima-Takatsuki fault zone was caused by the 2018 northern Osaka earthquake. In order to reveal the mechanism of surface displacement in the vicinity of the fault, it is necessary to continue to monitor the surface displacement in this area using time-series SAR interferometry.</p><p> </p><p> </p><p>We acknowledge Sentinel-1 data provided from the European Space Agency (ESA) based on the open data policy.</p>

scholarly journals Visualizing and interpreting surface displacement patterns on unstable slopes using multi-geometry satellite SAR interferometry (2D InSAR)

2017 ◽  
Vol 191 ◽  
pp. 297-312 ◽  
Author(s):  
Harald Øverli Eriksen ◽  
Tom Rune Lauknes ◽  
Yngvar Larsen ◽  
Geoffrey D. Corner ◽  
Steffen G. Bergh ◽  
...  
Keyword(s):  
Surface Displacement ◽  
Sar Interferometry ◽  
Displacement Patterns

scholarly journals Analytical Modelling of MSW Landfill Surface Displacement Based on GNSS Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5998
Author(s):  
Dana Adamcová ◽  
Stanislav Bartoň ◽  
Piotr Osinski ◽  
Grzegorz Pasternak ◽  
Anna Podlasek ◽  
...  
Keyword(s):  
Surface Displacement ◽  
Vertical Displacement ◽  
Geodetic Survey ◽  
Global Navigation Satellite Systems ◽  
Natural Soil ◽  
Displacement Estimation ◽  
Satellite Systems ◽  
Total Displacement ◽  
Displacement Based ◽  
Global Navigation Satellite

Displacements of landfills play an important role in the reclamation process and geotechnical safety improvement of such sites. Landfill settlements are defined as a vertical displacement of waste body due to compression, degradable nature of the waste, and creep phenomenon of the waste particles. Waste composition is more diverse than natural soil. Thus, it has to be properly placed and compacted since the landfill body will continuously settle down. Several models of the landfill displacement estimation have already been developed. The aim of the present study was: (i) to review the methods of landfill settlements computation and (ii) to propose the model allowing landfill body displacements simulation based on monitoring datasets applying a Global Navigation Satellite Systems (GNSS) measurement. The new model employs Gauss-Newton iteration and Runge-Kutta methods to estimate landfill surface displacements. The objectives were to analyse and mathematically describe the landfill body displacements. The GNSS geodetic survey and computations allowed concluding that the landfill body has been transformed over the years. The results revealed that the curves of waste displacement are in agreement with the measured total displacement of the landfill, and all curves corresponding to waste displacement are perpendicular to the active edge of the landfill. In the period of a maximum of 4.5 years after the waste deposition with a layer of up to 16.2 m thickness, the phenomenon of expansion was observed, which then disappears, and more settlement occurs due to the gravity of upper layers. The analysed landfill as a whole does not experience significant displacements. Neither of the slope failures are observed, even for large inclination.

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