Dynamic Receiver Autonomous Integrity Monitoring for Multi-constellation Global Navigation Satellite Systems. In the next five years, four Global Navigation Satellite Systems (GNSS) will be developed to foster the wide applications of satellite navigation in our daily life. These new developments can certainly offer a variety of economic, scientific and social opportunities for Australia. This research project will develop a theoretically sound integrity monitoring procedure for the new generat ....Dynamic Receiver Autonomous Integrity Monitoring for Multi-constellation Global Navigation Satellite Systems. In the next five years, four Global Navigation Satellite Systems (GNSS) will be developed to foster the wide applications of satellite navigation in our daily life. These new developments can certainly offer a variety of economic, scientific and social opportunities for Australia. This research project will develop a theoretically sound integrity monitoring procedure for the new generation GNSS receivers to check their own navigation performance. The contribution from this research, which is patentable, will bring a timely opportunity for local industry to develop new products towards a massive worldwide market and serve Australian users as well.Read moreRead less
Lunar crustal structure from high-res gravity, topography, and seismic data. This project aims to improve our knowledge of the Moon, including its surface processes, interior structure, modification by geological processes and creation and evolution. The Moon preserves the longest and cleanest records of surface geology in the Solar System’s history, unlike the Earth. The lunar crust should exhibit strong heterogeneity in density (both porosity and composition) given its complex history of impac ....Lunar crustal structure from high-res gravity, topography, and seismic data. This project aims to improve our knowledge of the Moon, including its surface processes, interior structure, modification by geological processes and creation and evolution. The Moon preserves the longest and cleanest records of surface geology in the Solar System’s history, unlike the Earth. The lunar crust should exhibit strong heterogeneity in density (both porosity and composition) given its complex history of impact bombardment and volcanism. This project aims to determine radial and lateral heterogeneity in density and porosity within the Moon's crust, by analysing Gravity Recovery And Interior Laboratory gravity and spacecraft tracking data, Lunar Orbiter Laser Altimeter topography and in situ Apollo seismological data.Read moreRead less
P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil ....P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil using an L-band radiometer. This project is expected to give farmers the soil moisture data they need to optimise their available water resources to maximise food productionRead moreRead less
Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Quantifying sea-level trends and extremes along Australia's coastal margin. Multi-decadal changes in sea-level, and sea-level extremes, cannot be well quantified along most global coastlines, including Australia's, because the high spatial variability of sea-level is under-sampled by the sparse set of long, high quality tide gauge records. Satellite altimetry provides an alternative data source with greater spatial sampling, yet experiences contamination from land within tens of kilometres from ....Quantifying sea-level trends and extremes along Australia's coastal margin. Multi-decadal changes in sea-level, and sea-level extremes, cannot be well quantified along most global coastlines, including Australia's, because the high spatial variability of sea-level is under-sampled by the sparse set of long, high quality tide gauge records. Satellite altimetry provides an alternative data source with greater spatial sampling, yet experiences contamination from land within tens of kilometres from the coast and also suffers from regionally correlated biases. This project proposes to address these problems through re-tracking radar altimetry waveforms to derive new data in the coastal margin, enabling the production of new inferences on sea-level change and extremes at dramatically improved spatial resolution around Australia.Read moreRead less
Integrated GPS and interferometric SAR techniques for ground subsidence monitoring. The Global Positioning System (GPS) is commonly used for measuring ground subsidence due to underground mining and similar activities. However, GPS techniques cannot easily survey a dense enough grid of points to monitor subsidence across a wide area. This project aims to densify the GPS field measurements with the interferometric processing of Synthetic Aperture Radar (SAR) images. The outcomes of this research ....Integrated GPS and interferometric SAR techniques for ground subsidence monitoring. The Global Positioning System (GPS) is commonly used for measuring ground subsidence due to underground mining and similar activities. However, GPS techniques cannot easily survey a dense enough grid of points to monitor subsidence across a wide area. This project aims to densify the GPS field measurements with the interferometric processing of Synthetic Aperture Radar (SAR) images. The outcomes of this research include optimal integration models, operational software systems and quality-control measures. A test area south of Sydney, where subsidence caused by underground coal mining is having significant detrimental effect on surface infrastructure, will be monitored over a three-year period.Read moreRead less
Remote sensing of biotic stress with hyperspectral-fluorescence imaging. This project aims to investigate new indicators of crop biotic stress using innovative airborne remote sensing and imaging spectroscopy for biosecurity applications. Current satellites used to monitor crops and forests do not meet the spectral and spatial details that are required for the early -previsual- detection of biotic and abiotic stress. Accordingly, this project's significance focuses on new insights to detect the ....Remote sensing of biotic stress with hyperspectral-fluorescence imaging. This project aims to investigate new indicators of crop biotic stress using innovative airborne remote sensing and imaging spectroscopy for biosecurity applications. Current satellites used to monitor crops and forests do not meet the spectral and spatial details that are required for the early -previsual- detection of biotic and abiotic stress. Accordingly, this project's significance focuses on new insights to detect the alteration of photosynthetic indicators of plant functioning, building on recent breakthroughs with airborne hyperspectral imaging and remote sensing technologies. The outcomes will provide significant benefits to Australia in the detection of harmful diseases and improved water and nutrient monitoring methods.Read moreRead less
Real-Time Integration of GPS with INS For Precise Long-Baseline Kinematic Positioning. Although Australian researchers have played an important role in the development of carrier phase-based GPS kinematic positioning algorithms and methodologies over the last two decades, investigations concerning high precision multi-sensor integration have been comparatively limited. This ARC project would go a significant way towards remedying this situation by building up theoretical and practical expertise ....Real-Time Integration of GPS with INS For Precise Long-Baseline Kinematic Positioning. Although Australian researchers have played an important role in the development of carrier phase-based GPS kinematic positioning algorithms and methodologies over the last two decades, investigations concerning high precision multi-sensor integration have been comparatively limited. This ARC project would go a significant way towards remedying this situation by building up theoretical and practical expertise in sensor integration techniques at the postdoctoral level. The outcomes of this project will represent a significant contribution to Australian R&D in the fields of precise positioning and navigation, since they will be directly applicable to the design and development of a variety of integrated multi-sensor systems.Read moreRead less
AirLIFT – an airborne active chlorophyll fluorescence sensing system for assessment of photosynthetic activity in plant canopies. Assessment of plant health and productivity is vital to ensure future food security of the global population under a changing climate. Chlorophyll fluorescence (CF), a signal emitted by green plants, can reveal this information. Although CF has revolutionised photosynthetic research, current measurements are limited to individual plants. Remote sensing of canopy CF is ....AirLIFT – an airborne active chlorophyll fluorescence sensing system for assessment of photosynthetic activity in plant canopies. Assessment of plant health and productivity is vital to ensure future food security of the global population under a changing climate. Chlorophyll fluorescence (CF), a signal emitted by green plants, can reveal this information. Although CF has revolutionised photosynthetic research, current measurements are limited to individual plants. Remote sensing of canopy CF is required for efficient management of agricultural crops, forests, and natural ecosystems and is crucial for accurate estimation of plant carbon assimilation and production. This project will deliver remote sensing technology to bridge the gap between leaf and canopy productivity and pave the way for understanding both artificial and solar induced canopy CF measured from space.Read moreRead less
Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two ....Generation of Digital Elevation Models by Fusion of Image and Terrain Laser Scan Data. There are currently two separate approaches to obtaining digital elevation models of the terrain surface by remote sensing, image based methods using aerial or satellite images and scanner techniques by terrain laser scanners. Each method provides elevations with high accuracy, but both require significant input from an operator during processing. It is proposed to take advantage of the synegies of these two forms of data by combining the processing into a single solution for elevation determination by data fusion. This approach will improve the quality and efficiency of elevation determination.Read moreRead less