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GNSS-based remote sensing: Innovative observation of key hydrological parameters in the central Andes
- Basic principle of GPS reflectometry for soil moisture estimation. When the soil moisture is high (red line), the signal does not penetrate the ground. On the other hand, when it is low, there is some penetration, which is causing a delay (phase shift) in its SNR interferometric pattern.
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- © Antonoglou (GFZ)
Nikolaos Antonoglou
Faculty VI - Planning Building Environment, Technical
University Berlin
Institute of Earth and Environmental Science,
University of Potsdam
GFZ Potsdam
The central
Andes are characterized by a steep climatic gradient where key
hydrologic variables change across short distances. One of the largest
unknown component in this environment is the storage of water in the
atmosphere, soil (soil moisture) and the snow height (or snow water
equivalent). Both are parameters that can be quantified with modern
remote sensing technology and we seek to enhance our understanding of
the complete water fluxes in this environment – especially the
highly dynamic fluxes that are often associated with
hydrometerological extreme events.
In the past two decades,
innovative GNSS (Global Navigational Satellite Systems) based remote
sensing techniques were successfully tested and established and the
resulting observations evolved into an important data source for
numerous meteorological applications. The most prominent example for
this development is the operational use of GNSS-based temperature and
water vapor data to improve day-by-day regional and global weather
forecasts since 2006. The exploitation of Earth reflected signals
(GNSS Reflectometry, GNSS-R), however is not yet operationally applied
and still focus of international research to reach operational
application level as well. GNSS data provide an excellent opportunity
to study the dynamics of hydrometeorological extreme events, because
of the very high sampling interval.
This project relies on
close collaboration with Argentinean researchers that maintain a
regional GNSS ground network. In the framework of this project, new
stations at specific, key locations will be installed and the data
used to decipher hydrologic process. This project requires strong
quantitative skills and thorough environmental
knowledge.
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