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Major Funded projects


An evaluation of multispectral imagery of dryland crops as an aid to field agronomists

Using airborne video to map winter weeds in emerging crops

Developing a rapid, cost effective method of assessing algal biomass in the riverine environment

Use of airborne digital imaging to assess within-paddock variability in rice production

Mapping blackberry thickets with airborne video data

Determining flow/inundation relationships for the Murrumbidgee River using satellite remote sensing

Monitoring Regional Scale Water Balance & Rice Crop Yield using Remote Sensing

Assessment of Environmental Flows for the Murrumbidgee River

Response of diagnostic bioindicators of river red gum (Eucalyptus camaldulensis) health to changes in flow

Mapping of forest moisture stress using high resolution spectral data

An evaluation of airborne video for mapping moisture stress in the Barmah-Millewa river red gum forest

Scoping study of correlations between chlorophyll fluorescence, spectral reflectance and canopy dieback at Olney State Forest, NSW

Ground calibration of River Red Gum health associated with airborne video imagery

Using airborne video to map winter weeds in emerging crops

Research Supervisor:
Dr David Lamb

Research Staff:
Mr Mark Weedon

Funding:
$4,000 (CRC WMS)

Project Summary:
Airborne multispectral imaging can be used to discriminate weeds against background crop residue or soil. It is then possible to convert target images into weed maps, once the image has been geo-rectified using the location of known objects within the image and the weeds have been suitable classified using computer-based image processing. This project aims to measure the potential accuracy of using airborne multispectral imaging to generate weed maps with the intention of using such maps to guide on-ground precision weed spraying technology. The accuracy will be quantified by comparing airborne-derived weed maps directly with accurate on-ground weed maps generated using a data-logger and differential global positioning system (GPS).