Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100181
Funder
Australian Research Council
Funding Amount
$183,413.00
Summary
Fieldwork or remote sensing? The blurred line of unmanned airborne systems. Fieldwork or remote sensing? The blurred line of unmanned airborne systems: The aim of the project is to develop a state-of-the-art Unmanned Airborne System (UAS) capability in support of field data acquisition. The system will provide highly detailed calibrated imagery of difficult or inaccessible survey sites and bridge the scale gap between in situ observations and imagery acquired by higher altitude airborne or satel ....Fieldwork or remote sensing? The blurred line of unmanned airborne systems. Fieldwork or remote sensing? The blurred line of unmanned airborne systems: The aim of the project is to develop a state-of-the-art Unmanned Airborne System (UAS) capability in support of field data acquisition. The system will provide highly detailed calibrated imagery of difficult or inaccessible survey sites and bridge the scale gap between in situ observations and imagery acquired by higher altitude airborne or satellite sensors. The UAS will have a diverse range of applications, including environmental monitoring, disaster management and recording sites of indigenous cultural significance. In addition, the system will be more flexible and cost effective than any other field or remote sensing tool.Read moreRead less
Averting Disaster: New Ways to Assess Bushfire Risk and Building Integrity. This project aims to develop a new method of assessing bushfire risk and building integrity using drone-based advanced technologies and computational fluid dynamics based heat transfer modelling for buildings located in bushfire prone areas. This coupled approach will enable the evaluation of bushfire effects on buildings and provide pre-bushfire condition/risk assessments, and site-specific cost-effective remedial actio ....Averting Disaster: New Ways to Assess Bushfire Risk and Building Integrity. This project aims to develop a new method of assessing bushfire risk and building integrity using drone-based advanced technologies and computational fluid dynamics based heat transfer modelling for buildings located in bushfire prone areas. This coupled approach will enable the evaluation of bushfire effects on buildings and provide pre-bushfire condition/risk assessments, and site-specific cost-effective remedial actions to reduce or eliminate bushfire damage and mitigate the risks pre-bushfire season. The new method will be applied to three selected buildings through which further enhancements and validations can be achieved. This project will showcase how the selected buildings and their components can be made bushfire safe.Read moreRead less
Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expect ....Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expected outcomes of this project will be better management options to safeguard allergy sufferers and improved ecological and pollen forecasts under climate change and extreme events. This project should provide important public health benefits and disease mitigation strategies to Australia's urban and remote areas.
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Remote sensing estimation of greenhouse gas emissions from floodplains in the wet-dry tropics. This project provides regional-scale estimates of greenhouse gas emissions from major floodplains in the wet-dry tropics. These estimates are required for future national carbon accounting, and are critical knowledge gaps for current global climate models.