Water and nutrient stress detection in broad acre crops using remote sensing. The national benefit of the remote sensing of water and nutrient levels in crops comes from improved agricultural practice; leading to cost savings, reduced water usage and reduced pollution. This benefit will arise since irrigation and fertiliser application can be exactly tailored to the measured needs of broad-acre crops. In Australia, water is a scarce resource. Reducing consumption by irrigators will have signi ....Water and nutrient stress detection in broad acre crops using remote sensing. The national benefit of the remote sensing of water and nutrient levels in crops comes from improved agricultural practice; leading to cost savings, reduced water usage and reduced pollution. This benefit will arise since irrigation and fertiliser application can be exactly tailored to the measured needs of broad-acre crops. In Australia, water is a scarce resource. Reducing consumption by irrigators will have significant downstream benefits. By remote measurement of nutrient variation within paddocks, fertiliser applications can be optimised. Minimum excess fertiliser will then be present and this will minimise runoff and potential downstream water pollution.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560930
Funder
Australian Research Council
Funding Amount
$167,777.00
Summary
Airborne laser scanning for advanced environmental monitoring. This proposal seeks to enhance the national capability for airborne remote sensing of key environmental variables through the acquisition of an airborne laser scanner and inertial navigation system. Many environmental science studies, such as hydrology, soil moisture scaling and salinity, can be significantly enhanced by airborne laser scanning, through the creation of high precision, high resolution digital terrain models. Airborne ....Airborne laser scanning for advanced environmental monitoring. This proposal seeks to enhance the national capability for airborne remote sensing of key environmental variables through the acquisition of an airborne laser scanner and inertial navigation system. Many environmental science studies, such as hydrology, soil moisture scaling and salinity, can be significantly enhanced by airborne laser scanning, through the creation of high precision, high resolution digital terrain models. Airborne laser scanning can also measure three dimensional vegetation canopy structure, a useful indicator of biomass, carbon storage and vegetation health. This infrastructure will provide Australian researchers with a unique arsenal of remote sensing tools for advanced yet affordable environmental research studies.Read moreRead less
Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoti ....Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoting business activity in the broader Australian spatial information industry. Also, community oriented benefits will be seen through the improved prospects for new public-good applications of CRP, ranging for example from cultural heritage recording through to homeland security and forensic measurement for crime scene analysis.Read moreRead less
Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include ....Traffic Incidents: Reducing the Impacts. Road congestion due to traffic incidents in major urban areas adversely affects traveller safety and travel reliability, and is a significant cost burden to industry and the community in social, environmental and economic terms. This project will investigate the impact of traffic incidents, with the aim being to produce outcomes that contribute to more efficient traffic management, and specifically to reducing the incident duration. Outcomes will include the development of decision support tools to aid in policy and operational responses, as well as the development of faster and more comprehensive accident reconstruction based on spatial information technology. Read moreRead less
Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of t ....Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of this project, which is a collaboration with SKM, is to develop the tools necessary to validate Quickbird imagery as a source for geospatial information collection, to develop the associated data processing systems to proof-of-concept stage and to experimentally verify these systems.Read moreRead less
Quantifying Uncertainty in Predictions of Global Change. This project will develop and apply quantitative risk management models to assess whether data sources used in the predictions of global changes, in: (i) land use and land cover; (ii) biodiversity; and (iii) carbon emissions, are adequate. It will focus on the issues of data accuracy, scale and temporal resolution in order to assess whether spatial data sources meet environmental decision-making needs. The research has the potential to ( ....Quantifying Uncertainty in Predictions of Global Change. This project will develop and apply quantitative risk management models to assess whether data sources used in the predictions of global changes, in: (i) land use and land cover; (ii) biodiversity; and (iii) carbon emissions, are adequate. It will focus on the issues of data accuracy, scale and temporal resolution in order to assess whether spatial data sources meet environmental decision-making needs. The research has the potential to (a) aid the federal and state government(s), and international agencies, in making informed policy / management decisions and to increase their effectiveness in implementing international treaties and protocols; and (b) help ensure the future capacity of terrestrial ecosystems to provide resources for the world's growing population and their ability to absorb the associated carbon emissions.Read moreRead less
Digital Imagery for Building 3D City Models. The project will investigate the application of digital photogrammetric imagery, and primarily high-resolution satellite imagery for the creation of visually realistic 3D city models. Virtual reality computer models of urban scenes find application in urban planning, facilities management, engineering and even virtual tourism. Building upon recently initiated collaborative research, the project aims to develop improved methods and procedures for autom ....Digital Imagery for Building 3D City Models. The project will investigate the application of digital photogrammetric imagery, and primarily high-resolution satellite imagery for the creation of visually realistic 3D city models. Virtual reality computer models of urban scenes find application in urban planning, facilities management, engineering and even virtual tourism. Building upon recently initiated collaborative research, the project aims to develop improved methods and procedures for automated, image-based object reconstruction to support the generation of metrically accurate 3D computer models of buildings and the built environment.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
Remote Sensing and Spatial Analysis of Native Vegetation Condition. Reversing the decline in the quality and extent of Australia's native vegetation is imperative. Site-based assessments of vegetation condition have many merits but are not practical for monitoring at regional, catchment or State levels. This research proposes an integrated approach to native vegetation assessment combining the synoptic overview of satellite based earth observation with the rigor of plot-based assessments. The ou ....Remote Sensing and Spatial Analysis of Native Vegetation Condition. Reversing the decline in the quality and extent of Australia's native vegetation is imperative. Site-based assessments of vegetation condition have many merits but are not practical for monitoring at regional, catchment or State levels. This research proposes an integrated approach to native vegetation assessment combining the synoptic overview of satellite based earth observation with the rigor of plot-based assessments. The outcomes will be an operationally feasible and quantitatively-based method for mapping vegetation condition in the context of biodiversity conservation, at a resolution that can inform decisions for managing native vegetation remnants, and at a scale that can inform regional decision-making.Read moreRead less
Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data ....Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data so that it can be interpreted in conjunction with other similar data, or existing lower resolution data. Consequently, the potential uses of high resolution satellite imagery will be greatly increased, allowing many more users to access the advantages of this unique source of data.Read moreRead less