ScanSAR interferometric processing using existing standard InSAR software for measuring large scale land deformation

Scanning synthetic aperture radar (ScanSAR) mode is an efficient way to map large scale geophysical phenomena at low cost. The work presented in this paper is dedicated to ScanSAR interferometric processing and its implementation by making full use of existing standard interferometric synthetic aperture radar (InSAR) software. We first discuss the properties of the ScanSAR signal and its phase-preserved focusing using the full aperture algorithm in terms of interferometry. Then a complete interferometric processing flow is proposed. The standard ScanSAR product is decoded subswath by subswath with burst gaps padded with zero-pulses, followed by a Doppler centroid frequency estimation for each subswath and a polynomial fit of all of the subswaths for the whole scene. The burst synchronization of the interferometric pair is then calculated, and only the synchronized pulses are kept for further interferometric processing. After the complex conjugate multiplication of the interferometric pair, the residual non-integer pulse repetition interval (PRI) part between adjacent bursts caused by zero padding is compensated by resampling using a sinc kernel. The subswath interferograms are then mosaicked, in which a method is proposed to remove the subswath discontinuities in the overlap area. Then the following interferometric processing goes back to the traditional stripmap processing flow. A processor written with C and Fortran languages and controlled by Perl scripts is developed to implement these algorithms and processing flow based on the JPL/Caltech Repeat Orbit Interferometry PACkage (ROI_PAC). Finally, we use the processor to process ScanSAR data from the Envisat and ALOS satellites and obtain large scale deformation maps in the radar line-of-sight (LOS) direction.

[1]  T. Farr,et al.  Shuttle radar topography mission produces a wealth of data , 2000 .

[2]  Masato Furuya,et al.  Fault Source Modeling of the 2008 Wenchuan Earthquake Based on ALOS/PALSAR Data , 2010 .

[3]  Peizhen Zhang,et al.  Slip maxima at fault junctions and rupturing of barriers during the 2008 Wenchuan earthquake , 2009 .

[4]  Michael Eineder,et al.  ScanSAR processing using standard high precision SAR algorithms , 1996, IEEE Trans. Geosci. Remote. Sens..

[5]  Alberto Moreira,et al.  Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and ScanSAR imaging modes , 1996, IEEE Trans. Geosci. Remote. Sens..

[6]  C. Werner,et al.  Radar interferogram filtering for geophysical applications , 1998 .

[7]  Xiang Xiang Tong,et al.  Coseismic Slip Model of the 2008 Wenchuan Earthquake Derived From Joint Inversion of InSAR, GPS and Field Data , 2009 .

[8]  Riccardo Lanari,et al.  Chirp z-transform based SPECAN approach for phase-preserving ScanSAR image generation , 1998 .

[9]  Jan-Peter Muller,et al.  Assessment of the potential of MERIS near‐infrared water vapour products to correct ASAR interferometric measurements , 2006 .

[10]  S. Buckley,et al.  Radar interferometry measurement of land subsidence , 2000 .

[11]  P. Visser,et al.  Precise orbit determination and gravity field improvement for the ERS satellites , 1998 .

[12]  M. Simons,et al.  3.12 Interferometric Synthetic Aperture Radar Geodesy , 2007 .

[13]  Ian G. Cumming,et al.  Application of efficient linear FM matched filtering algorithms to synthetic aperture radar processing , 1985 .

[14]  Walter H. F. Smith,et al.  New, improved version of generic mapping tools released , 1998 .

[15]  Xiai Cui,et al.  ALOS PALSAR SCANSAR INTERFEROMETRY AND ITS APPLICATION IN WENCHUAN EARTHQUAKE , 2010 .

[16]  David T. Sandwell,et al.  Coseismic slip model of the 2008 Wenchuan earthquake derived from joint inversion of interferometric synthetic aperture radar, GPS, and field data , 2010 .

[17]  Richard Bamler,et al.  Burst-mode and ScanSAR interferometry , 2002, IEEE Trans. Geosci. Remote. Sens..

[18]  Oliver Montenbruck,et al.  TerraSAR-X Precise Trajectory Estimation and Quality Assessment , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[19]  P. Rosen,et al.  Updated repeat orbit interferometry package released , 2004 .

[20]  F. Rocca,et al.  Interferometry with ScanSAR , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[21]  Jan-Peter Muller,et al.  Interferometric synthetic aperture radar atmospheric correction: Medium Resolution Imaging Spectrometer and Advanced Synthetic Aperture Radar integration , 2006 .

[22]  Ian G. Cumming,et al.  Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation , 2005 .

[23]  Paul Wessel,et al.  Open radar interferometry software for mapping surface Deformation , 2011 .