Improved Geodetic Modelling through Very Long Baseline Interferometry. We plan to develop a geodetic VLBI capability to provide independent confirmation of results from alternative techniques such as GPS and SLR and allow us to characterise and remove the systematic errors inherent in these systems, to produce an optimum, unified terrestrial reference system based on VLBI measurements, together with GPS/SLR data, especially for the Antarctic region. The ITRF is based on the VLBI ICRF linking ou ....Improved Geodetic Modelling through Very Long Baseline Interferometry. We plan to develop a geodetic VLBI capability to provide independent confirmation of results from alternative techniques such as GPS and SLR and allow us to characterise and remove the systematic errors inherent in these systems, to produce an optimum, unified terrestrial reference system based on VLBI measurements, together with GPS/SLR data, especially for the Antarctic region. The ITRF is based on the VLBI ICRF linking our astrometric and geodynamic research programs.
We will estimate motion at sites from the combination of VLBI, GPS, gravity and tide gauge data for geodynamic effects, such as post-glacial rebound and tectonic motion, global mean sea level change and determine length-of-day (LOD) variations, focused primarily on understanding the contribution from the Southern Oceans.
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Soil inference system for bridging the environmental modelling gap. The Australian environment is confronted with issues of degradation and long-term sustainability. There is a need to predict landscape processes into the future using simulation models. The limited availability of appropriate information on the soil is a fundamental barrier to this crucial modelling. This project will develop an inference system to predict soil properties from the very limited information. The results will be us ....Soil inference system for bridging the environmental modelling gap. The Australian environment is confronted with issues of degradation and long-term sustainability. There is a need to predict landscape processes into the future using simulation models. The limited availability of appropriate information on the soil is a fundamental barrier to this crucial modelling. This project will develop an inference system to predict soil properties from the very limited information. The results will be used to describe soil quality, to monitor the effects of agricultural management, and principally to provide information needed by policy makers concerned with sustainable land use.Read moreRead less