Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier- ....Tracking formation-flying of nanosatellites using inter-satellite links. This project aims to realise real-time kinematic precise orbit and attitude determination of nano satellites. Formation flying, based on distributed miniaturised satellites such as Cubesats, is envisioned to revolutionise the way the space-science community conducts autonomous missions. The project will develop a purely kinematic concept exploiting the full capabilities of Global Navigation Satellite Systems (GNSS) carrier-phase measurements for instantaneous precise orbit and attitude determination of the Cubesats. The project will also pioneer the use of the satellite based augmentation systems (SBAS), supporting the future Australian SBAS program, and the development of integrated algorithms for space-based, Precise Point Positioning with fixed ambiguities supported by SBAS.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101182
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function m ....Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function measurements, at leaf and canopy scales, with imaging and ranging data in 3D computer modelling techniques. This will address the need to optimise food production and to sustainably manage ecosystem services in a changing climate, with preferential benefits for extensive and inaccessible Australian landscapes.Read moreRead less