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
Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from sate ....Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from satellites.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100118
Funder
Australian Research Council
Funding Amount
$159,450.00
Summary
Sensor calibration facility for spectral and thermal remote sensing. This project aims to establish a calibration facility for the radiometric and spectral correction of hyperspectral and thermal sensors for ultrahigh-resolution remote sensing. Sensor calibration and characterisation is critical to the accuracy of hyperspectral and thermal data products, however, there is no central facility in Australia for this purpose. This project will provide significant benefits, such as growing our capaci ....Sensor calibration facility for spectral and thermal remote sensing. This project aims to establish a calibration facility for the radiometric and spectral correction of hyperspectral and thermal sensors for ultrahigh-resolution remote sensing. Sensor calibration and characterisation is critical to the accuracy of hyperspectral and thermal data products, however, there is no central facility in Australia for this purpose. This project will provide significant benefits, such as growing our capacity in ultrahigh-resolution remote sensing for ecosystem science, biosecurity, and disaster response.Read moreRead less
Bridging scales in remote sensing of vegetation stress. This project aims to develop operational upscaling algorithms to map vegetation stress indicators from space-borne missions’ optical observations of the Earth. These approaches use computer radiative transfer models and unmanned aircraft systems called drones, and will pave the way for regular satellite monitoring of plant health in extensive and inaccessible Australian and Antarctic areas. More accurate and timely remote sensing maps of ea ....Bridging scales in remote sensing of vegetation stress. This project aims to develop operational upscaling algorithms to map vegetation stress indicators from space-borne missions’ optical observations of the Earth. These approaches use computer radiative transfer models and unmanned aircraft systems called drones, and will pave the way for regular satellite monitoring of plant health in extensive and inaccessible Australian and Antarctic areas. More accurate and timely remote sensing maps of early stress symptoms will provide early warnings of droughts, diseases and pests, tell when and where to protect ecological functions of wild natural systems, and help to sustain or even increase agricultural food production.Read moreRead less
Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas ....Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas with an appropriate spatio-temporal detail, and for a soil depth that closely approximates the layer which impacts crop/pasture growth and influences management decisions. The longer P-band allows deeper penetration into the soil while the active/passive combination uses the respective resolution and accuracy characteristics.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