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Publications of Michael Mayer

Books and proceedings

  1. M. Heublein, F. Alshawaf, M. Mayer, S. Hinz, and B. Heck. Towards a rigorous fusion of GNSS and InSAR observations for the purpose of water vapor retrieval. 2014. Note: Cited By 0. [bibtex-entry]


Articles in journal or book chapters

  1. F. Alshawaf, B. Fersch, S. Hinz, H. Kunstmann, M. Mayer, and F.J. Meyer. Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations. Hydrology and Earth System Sciences, 19(12):4747-4764, 2015. Note: Cited By 14. [bibtex-entry]


  2. Fadwa Alshawaf, T. Fuhrmann, A. Knöpfler, X. Luo, Michael Mayer, Stefan Hinz, and B. Heck. Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data. IEEE Transactions on Geoscience and Remote Sensing, 53(7):3764-3771, July 2015. Keyword(s): atmospheric humidity, atmospheric temperature, remote sensing, satellite navigation, time series, remote sensing data, temporal variation, spatial variation, Global Navigation Satellite System, time series, precipitable water vapor content, precise point positioning, absolute precipitable water vapor, GNSS observations, GNSS site, surface temperature measurements, GNSS-based delay, MEdium Resolution Imaging Spectrometer sensor, mean RMS value, GNSS-based total precipitable water vapor, Weather Research and Forecasting Modeling System, WRF model simulations, atmospheric water vapor estimation, surface meteorological data, Global Positioning System, Delays, Temperature measurement, Atmospheric modeling, Atmospheric measurements, Satellites, Atmospheric sounding, Global Navigation Satellite System(s) (GNSS), MEdium Resolution Imaging Spectrometer (MERIS), precipitable water vapor (PWV), Weather Research and Forecasting (WRF), Atmospheric sounding, Global Navigation Satellite System(s) (GNSS), MEdium Resolution Imaging Spectrometer (MERIS), precipitable water vapor (PWV), Weather Research and Forecasting (WRF). [Abstract] [bibtex-entry]


  3. Fadwa Alshawaf, Stefan Hinz, Michael Mayer, and Franz J. Meyer. Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations. Journal of Geophysical Research: Atmospheres, 120(4):1391-1403, 2015. Keyword(s): SAR Processing, atmospheric water vapor, InSAR, GNSS, Tropospheric Path Delay, Synthetic Aperture Radar, Atmospheric Modelling, Atmospheric modeling, Meteorology, radar clutter, radar imaging, radar interferometry, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  4. F. Alshawaf, T. Fuhrmann, B. Heck, S. Hinz, A. Knöpfler, X. Luo, M. Mayer, A. Schenk, A. Thiele, and M. Westerhaus. Integration of InSAR and GNSS observations for the determination of atmospheric water vapour. Lecture Notes in Geoinformation and Cartography, 0(199659):147-162, 2013. Note: Cited By 3. [bibtex-entry]


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Disclaimer:

Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.




Last modified: Fri Feb 24 14:22:27 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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