Using MODIS data and Saastamoinen model for atmospheric effect reduction in interferometry

A. Saqellari Likoka

doi:10.1117/12.2266106

1 May 2017 Using MODIS data and Saastamoinen model for atmospheric effect reduction in interferometry

A. Saqellari Likoka

Proceedings Volume 10222, Computational Imaging II; 102220A (2017) https://doi.org/10.1117/12.2266106
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

In this study, a method for reducing the atmospheric effects on SAR interferometric products is proposed. The method exploits MODIS data, as well as the Saastamoinen model for the estimation of the atmospheric component and the generation of spatially continuous data for this component. Then it recovers the interferometric signal from delays caused by the atmospheric component, through the appropriate modelling of the interferometric phase.

Performance of the method depends on MODIS data resolution; however, it always improves results. Experiments showed that the accuracy of DEMs that are produced by interferometry is improved when the proposed method is applied.

Conference Presentation

Citation Download Citation

A. Saqellari Likoka "Using MODIS data and Saastamoinen model for atmospheric effect reduction in interferometry", Proc. SPIE 10222, Computational Imaging II, 102220A (1 May 2017); https://doi.org/10.1117/12.2266106

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