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| | Abstract | | One concern regarding PS-InSAR analysis is to improve its applicability to non-urban area, because it is difficult to find highly coherent pixels to map surface displacement due to coherence loss according to baseline of SAR data. In this study, we developed a pixel-based interferometric datasets selection for improving the ability to detect spatial distribution of displacement in non-urban area. The proposed method selects larger number of datasets at highly coherent pixels, which can increase estimation accuracy. On the other hand, smaller number of datasets are selected at slightly decorrelated pixels, which can increase the number of pixels to map displacement. The method was applied to the Ohaaki geothermal field in New Zealand, and surface displacement area was more clarified compared with the standard analysis. |
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