Tropospheric delay signal in SAR interferogram and its correction for precise surface change detection

Synthetic aperture radar (SAR) interferometry has become an important tool for measuring the surface deformation and mapping topography. The largest error source of the SAR interferometry measurements is differential atmospheric delay of water vapor. It reflects detailed distribution of water vapor in troposphere at data acquisition. We found phase difference associated with atmospheric waves and severe local atmospheric phenomena in interferograms. To distinguish phase difference associated with surface deformation from tropospheric effect, we need several SAR interferograms including the time period of the deformation. Averaging the interferograms is an effective way to reduce the tropospheric delay from horizontal inhomogeneity of the water vapor distribution. Apart form the tropospheric delay of the horizontal water vapor inhomogeneity, we often find the differential phase correlated to the topography (elevation) in interferograms, which might cause error in interpretation of surface deformation. This phase is due to the differential tropospheric delay caused by the topography and vertical change of water vapor between two images in different atmospheric condition. Theoretical calculation shows that the phase difference can be approximated by linear expression of the elevation. We applied a simple and effective correction method that the error is removed by subtracting the DEM multiplied a coefficient.

[1]  F. Webb,et al.  Surface deformation and coherence measurements of Kilauea Volcano, Hawaii, from SIR C radar interferometry , 1996 .

[2]  P. Rosen,et al.  Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps , 1997 .

[3]  Paul A. Rosen,et al.  Deformation of the 1995 North Sakhalin earthquake detected by JERS-1/SAR interferometry , 1998 .

[4]  Charles Werner,et al.  Surface displacement of the March 26, 1997 Kagoshima‐Ken‐Hokuseibu Earthquake in Japan from synthetic aperture radar interferometry , 1998 .

[5]  K. Feigl,et al.  Discrimination of geophysical phenomena in satellite radar interferograms , 1995 .

[6]  Richard M. Goldstein,et al.  Atmospheric limitations to repeat‐track radar interferometry , 1995 .

[7]  Paul A. Rosen,et al.  Crustal deformation measurements using repeat‐pass JERS 1 synthetic aperture radar interferometry near the Izu Peninsula, Japan , 1998 .

[8]  M. Shimada,et al.  Correction of the satellite's state vector and the atmospheric excess path delay in SAR interferometry-application to surface deformation detection , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[9]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[10]  Christophe Delacourt,et al.  Tropospheric corrections of SAR interferograms with strong topography. Application to Etna , 1998 .

[11]  Paul A. Rosen,et al.  2.5‐D surface deformation of M6.1 earthquake near Mt Iwate detected by SAR interferometry , 2000 .