Investigation of Important Aspects of GNSS/InSAR Techniques Integration for Atmospheric Water Vapor Retrieval

Endrit Shehaj, Karina Wilgan and Alain Geiger

Peer Reviewed

Abstract:	In this work, we present a combination of (Global Navigation Satellite Systems) GNSS and Interferometric Synthetic Aperture Radar (InSAR) meteorological products, which are complementary in terms of spatio-temporal resolution. We aim a better retrieval of the atmospheric water vapor than each technique individually. These techniques are combined in the least squares collocation software COMEDIE (Collocation of Meteorological Data for Interpretation and Estimation of Tropospheric Path Delays), further upgraded to integrate GNSS and InSAR observations. We combine GNSS zenith total delays with InSAR atmospheric screens estimated using Persistent Scatterer Interferometry (PSI) and we investigate some important aspects of this combination, such as InSAR image size and pixel resolution and slant delay mapping function assumption. InSAR/GNSS integration in a collocation approach (COMEDIE) is a new aspect of this work. From the combination of data acquired in the Alpine region of Switzerland, we achieved: 1) in case of simulated measurements, a few mm accuracy (in terms of mean and standard deviation) and 2) in case of real measurements, combination products more congruent with InSAR results (due to the high density of InSAR measurements).
Published in:	Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) September 16 - 20, 2019 Hyatt Regency Miami Miami, Florida
Pages:	3461 - 3468
Cite this article:	Shehaj, Endrit, Wilgan, Karina, Geiger, Alain, "Investigation of Important Aspects of GNSS/InSAR Techniques Integration for Atmospheric Water Vapor Retrieval," Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019, pp. 3461-3468. https://doi.org/10.33012/2019.16893
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