Fault creep along the southern San Andreas from interferometric synthetic aperture radar, permanent scatterers, and stacking

Interferometric Synthetic Aperture Radar (InSAR) data are often contaminated by Radio-Frequency Interference (RFI) artefacts that make processing them more challenging. Therefore, easy to implement techniques for artefacts recognition have the potential to support the automatic Permanent Scatterers InSAR (PSInSAR) processing workflow during which faulty input data can lead to misinterpretation of the final outcomes. To address this issue, an efficient methodology was developed to mark images with RFI artefacts and as a consequence remove them from the stack of Synthetic Aperture Radar (SAR) images required in the PSInSAR processing workflow to calculate the ground displacements. Techniques presented in this paper for the purpose of RFI detection are based on image processing methods with the use of feature extraction involving pixel convolution, thresholding and nearest neighbor structure filtering. As the reference classifier, a convolutional neural network was used.

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The Application of PS-InSAR Technology on Land Subsidence in Cangzhou Region

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.268-270.1934 ◽

2011 ◽

Vol 268-270 ◽

pp. 1934-1939

Author(s):

Kun Chao Lei ◽

Hui Li Gong ◽

Xiao Juan Li ◽

Bei Bei Chen ◽

Ji Wei Li ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Land Subsidence ◽

Radar Data ◽

Ground Movement ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

The North ◽

Permanent Scatterers ◽

Satellite Radar ◽

Aperture Radar

Land subsidence in Cangzhou of the North China Plain, has been an ongoing problem for the past four decades (since the later 1970s). With the development of new synthetic aperture radar(SAR)sensors and interferometric synthetic aperture radar(InSAR) techniques, the application of satellite Radar data have enhanced capabilities to detect and monitor ground displacements with centimeter to millimeter precision at greater spatial detail and higher temporal resolution. We use Permanent Scatterers interferometric synthetic aperture radar（PS-InSAR）technology (Hooper, A.2004) to detect and measure ground movement in this area（from2004 to 2007）. Results of the cangzhou region study are reported and the utility of the InSAR methodology is discussed.

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The Locking Depth of the Cholame Section of the San Andreas Fault from ERS2-Envisat InSAR

Remote Sensing ◽

10.3390/rs10081244 ◽

2018 ◽

Vol 10 (8) ◽

pp. 1244 ◽

Cited By ~ 1

Author(s):

Guillaume Bacques ◽

Marcello de Michele ◽

Daniel Raucoules ◽

Hideo Aochi

Keyword(s):

Remote Sensing ◽

Synthetic Aperture Radar ◽

San Andreas Fault ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

San Andreas ◽

Tectonic Loading ◽

Aperture Radar

The Cholame section of the San Andreas Fault (SAF), which has been considered locked since 1857, has been little studied using geodetic methods. In this study, we propose to use Interferometric Synthetic Aperture Radar (InSAR) to contribute to the improvement of the knowledge of this section of the SAF. In particular, the objective of this work is to provide a description of the transition between the Parkfield and Cholame-Carrizo segments further southeast by producing an estimate of the locking depth of the Cholame segment by combining ERS2 (European Remote Sensing) and Envisat Advanced SAR (ASAR) satellites data. Our results indicate that the locking depth between the Parkfield and the Cholame-Carrizo segments deepens to the southeast. We then use these results as a hint to refine the tectonic loading on this section of the SAF.

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