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Recent advances in Interferometric Synthetic Aperture Radar (InSAR) data acquisition methods makes large geodetic datasets available including the Earth surface images with temporal resolution of a few days. The ARIA (Advanced Rapid Imaging and Analysis) project at JPL and Caltech has been routinely processing InSAR data from the Copernicus Sentinel-1 satellites with the goal to generate prototype interferometry products in near real-time that improve awareness for disaster response and measure longer-term deformation. The InSAR data measures changes in distance at millimeter-or centimeter-level at high spatial resolution, but atmospheric effects cause errors that can obscure small surface displacement signals with routine geodetic data analysis methods. In addition, topography, vegetation, rainfall are other sources of noise in InSAR datasets.