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Andy Green

Researcher at Commonwealth Scientific and Industrial Research Organisation

Publications -  32
Citations -  3247

Andy Green is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Hydrogeology & Groundwater recharge. The author has an hindex of 12, co-authored 32 publications receiving 3041 citations. Previous affiliations of Andy Green include Cooperative Research Centre.

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A transformation for ordering multispectral data in terms of image quality with implications for noise removal

TL;DR: In this paper, a transformation known as the maximum noise fraction (MNF) transformation is presented, which always produces new components ordered by image quality, and it can be shown that this transformation is equivalent to principal components transformations when the noise variance is the same in all bands and that it reduces to a multiple linear regression when noise is in one band only.

Analysis of aircraft spectrometer data with logarithmic residuals

Andy Green, +1 more
TL;DR: In this article, a method for removing background and extracting mineral-related absorption features from reflectance spectra from airborne systems is proposed. But this method is not suitable for the use of aircraft spectrometers.
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An example of 3D conductivity mapping using the TEMPEST airborne electromagnetic system

TL;DR: The TEMPEST airborne electromagnetic system is designed to measure the information that is required to derive accurate, high-resolution three-dimensional conductivity estimates of the subsurface.
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HyLogger-3, a visible to shortwave and thermal infrared reflectance spectrometer system for drill core logging: functional description

TL;DR: The AuScope National Virtual Core Library (NVCL) as mentioned in this paper provides a suite of hardware and software components for the imaging and hyperspectral characterisation of drill cores in their original core trays and the interpretation of their contained oxide, carbonate, hydrous and anhydrous silicate mineralogy.
Journal ArticleDOI

Estimating Noise Levels in AEM Data

TL;DR: In this article, the results of analysing AEM data where the same flight line has been flown repeatedly to monitor system performance have been reported for both frequency and time domain systems and showed that where the area is even moderately conductive, multiplicative errors will provide the dominant source of noise for AEM surveys.