Michael Otieno Onyango

ORCID: 0000-0003-1817-7149
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About
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Research Areas
  • GNSS positioning and interference
  • Ionosphere and magnetosphere dynamics
  • Geophysics and Gravity Measurements
  • Tropical and Extratropical Cyclones Research
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations

University of Nairobi
2017

This article presents a remote-sensing tool employing an artificial neural networks algorithm for near real-time determination of the relative humidity (RH) profile above site using global positioning system (GPS) data recorded by ground-based GPS receiver. were processed to obtain Integrated Water Vapour. The integrated water vapour in conjunction with ground level information temperature, pressure, and RH was fed as inputs developed network which turn generated instantaneous profile, at...

10.1080/01431161.2017.1363434 article EN International Journal of Remote Sensing 2017-08-10
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