Discovery Early Career Researcher Award - Grant ID: DE190101182
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function m ....Leaf to landscape: near-instant vegetation growth and productivity rates. This project aims to develop a remote sensing approach for more accurate monitoring of vegetation growth rate and productivity, and the fast-changing vegetation stress dynamics across agricultural and natural landscapes. Algorithms and methods will be developed to use and analyse newly available Earth Observation satellite data to map and monitor plant primary productivity. This project will combine direct plant function measurements, at leaf and canopy scales, with imaging and ranging data in 3D computer modelling techniques. This will address the need to optimise food production and to sustainably manage ecosystem services in a changing climate, with preferential benefits for extensive and inaccessible Australian landscapes.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