MoistureMonitor: A multi-mission soil moisture monitoring system for a water limited future. A long-term soil moisture record for Australia is critical to understanding climate change feedback mechanisms and their impacts on water management. This project will validate, downscale and harmonise soil moisture retrievals from three satellite missions across this decade, each using a new and different low resolution antenna technology and interpretation approach. Moisture Monitor, the framework to d ....MoistureMonitor: A multi-mission soil moisture monitoring system for a water limited future. A long-term soil moisture record for Australia is critical to understanding climate change feedback mechanisms and their impacts on water management. This project will validate, downscale and harmonise soil moisture retrievals from three satellite missions across this decade, each using a new and different low resolution antenna technology and interpretation approach. Moisture Monitor, the framework to deliver this soil moisture record, will be verified using airborne campaigns and hydrological monitoring infrastructure in the Murrumbidgee catchment. Important outcomes will be validation of a new soil moisture satellite and development of a high resolution soil moisture product for improved land and water management and policy for Australia.Read moreRead less
Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critic ....Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critical but costly tool for acquiring this data. This project anticipates that airborne spatial tracking using intelligent spatial tracking algorithms on board low cost UAV teams will allow more precise understanding of wildlife for evidence-based conservation and management in a changing global climate.Read moreRead less
Automation of species recognition and size measurement of fish from underwater stereo-video imagery. The project aims to develop algorithms to automate the processing of stereo-video images recorded to count and measure the size of fish. This will improve husbandry and monitoring for finfish aquaculture at reduced costs, create technology export for industry partners, and develop cost effective, non-destructive finfish sampling tools for marine agencies.
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