Correcting Atmospheric Effects On InSAR Interferogram With MERIS Integrated Water Vapor Data

The propagation delays when radar signals travel from the troposphere has been one of the major limitations for the applications of high precision repeat pass Interferometric Synthetic Aperture Radar (InSAR). The Medium Resolution Imaging Spectrometer (MERIS) and Advanced Synthetic Aperture Radar (ASAR) are amount on ESA'S Envisat satellite; they thus can receive data contemporaneously. In addition, the unprecedented high spatial resolution of MERIS provides us a good chance to correct atmospheric effects on ASAR interferograms.The study is around the research of correcting atmospheric effects on InSAR interferogram with MERIS integrated water vapor data. Considering the spatial distribution of water vapor is positively related to topography, the author first analyze the drawbacks of three existed topography-dependent interpolation model and propose a new topography-dependent interpolation model, namely Simple Kriging with varies local means+Onn model (SKlm+Onn). The author then conduct the atmospheric correction methods for ASAR interferograms with MERIS integrated water vapor (IWV) data and present a new correction method for ASAR interferograms based on the SKlm+Onn. Finally, the author construct some experiments, the results show that it can capture the ground deformation and other geophysical signals after atmospheric corretion. The main contributions are summarized as follows:1). In view of the drawbacks of the existed topography-dependent interpolation model, a new topography-dependent interpolation model, namely Simple Kriging with varies local means+Onn model, is proposed. The results show that the proposed SKlm+Onn model represents an improvement of 29-63% over the other known models.2). Developing the atmospheric correction methods for ASAR interferograms with MERIS integrated water vapor (IWV) data and Kriging method. The result shows that the cloudless MERIS IWV data correcting the synchronized ASAR interferogram can significantly reduce the atmospheric effects in the interferograms and further better capture the ground deformation and other geophysical signals.3). Proposing an atmospheric correction method for ASAR interferograms with MERIS integrated water vapor (IWV) data and SKlm+Onn model. The new method suggest that the accuracy of the new method is better than traditional correction methods and the new method may provide an avenue for mitigate atmospheric effects on InSAR interferogram in mountainous areas, which is interest to a wide community of geophysicists.