Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less
Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-off ....Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-offs between resilience and efficiency on farms. This should provide significant benefits, including the ability to minimize financial risks to farmers and banks, allow better investment decisions, and achieve sustainable long-term outcomes for both private and public well-being.Read moreRead less
Defining and developing a marine cadastre for Australia. Australia's ocean territories cover an area 1.5 times larger than the nation's land mass. Systems for the management and administration of land in a spatial context have been developed over many years but no such system exists for the nation's oceans. A marine cadastre aims at providing a comprehensive spatial data infrastructure and spatial analysis tools for the assessment, administration and management of rights, restrictions and respo ....Defining and developing a marine cadastre for Australia. Australia's ocean territories cover an area 1.5 times larger than the nation's land mass. Systems for the management and administration of land in a spatial context have been developed over many years but no such system exists for the nation's oceans. A marine cadastre aims at providing a comprehensive spatial data infrastructure and spatial analysis tools for the assessment, administration and management of rights, restrictions and responsibilities in the marine environment. The objective of this project is to investigate the issues and define the problems associated with the development of a marine cadastre, thereby providing the foundation for future research.Read moreRead less
EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for ....EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for a new generation of moving object databases. EPOS is designed to process a large number of concurrently running continuous monitoring queries on a massive set of moving objects with frequent updates. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.
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
Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water res ....Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water resources in these areas. These innovative techniques will yield new information on critical water issues: water availability, salinity, groundwater/surface water interactions, climate and land use change impact. This project provides the basis for sustainable water use in regional Australia.Read moreRead less
Satellite based monitoring system of lakes and wetlands water quality. Effectively managing water resources within Australia is critical for social and economic growth. The large-scale of Australian catchments means that many lakes are unmonitored due to time and costs required for on-ground programs. This research project directly addresses the lack of observations. Information on water quality from satellite, on-ground, and modeling investigations are integrated to develop an operational moni ....Satellite based monitoring system of lakes and wetlands water quality. Effectively managing water resources within Australia is critical for social and economic growth. The large-scale of Australian catchments means that many lakes are unmonitored due to time and costs required for on-ground programs. This research project directly addresses the lack of observations. Information on water quality from satellite, on-ground, and modeling investigations are integrated to develop an operational monitoring system for surface water quality. Results are used to model the sensitivity of the water quality to changes in climate and land use. The monitoring system can be used to protect catchment assets by risk assessment and provide insights into management scenarios.Read moreRead less
Ambient spatial intelligence: Spatial analysis and event detection in environmental geosensor networks. This project will design and test innovative new decentralised algorithms for responding to spatiotemporal queries in environmental monitoring networks. The research is essential for constructing larger, denser, and more reliable networks, helping to embed spatial intelligence within the environment itself (ambient spatial intelligence). The project builds on Australia's existing research exce ....Ambient spatial intelligence: Spatial analysis and event detection in environmental geosensor networks. This project will design and test innovative new decentralised algorithms for responding to spatiotemporal queries in environmental monitoring networks. The research is essential for constructing larger, denser, and more reliable networks, helping to embed spatial intelligence within the environment itself (ambient spatial intelligence). The project builds on Australia's existing research excellence in geographic information science. By making smarter use of spatial information, the project will further strengthen Australia's world-leading spatial information industry, and support sustainable and economic environmental management through important applications like conservation contracts and carbon sequestration monitoring.Read moreRead less
High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorith ....High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorithms and computational schemes will be formulated and implemented in software. These developments will then be evaluated through comprehensive experimental testing using Ikonos and Quickbird satellite imagery, with the expected project outcomes being new, experimentally validated computational models, which will advance geospatial information generation from HRSI.Read moreRead less