Matthew B.J. Purss

Geoscience Australia

In this chapter, we provide a thorough discussion on Digital Earth with particular focus on Discrete Global Grid Systems (DGGS), which are a standardized representation of the Earth. We describe the necessary components of a DGGS, such as the underlying 2D representation, indexing system, projection, and cell types. We also discuss a selection of w...

Datacubes are increasingly being implemented to efficiently manage big data workflows; 20 particularly those for processing geospatial data. However, there is confusion in both the 21 definition of the term “datacube” and the choices of how they are implemented. This, and 22 the conventional approach to managing spatial data (i.e. in map projected...

This paper proposes an alternative procedure for calculating Cellular Energy Allocation (CEA) in marine bivalve species. CEA is a measure of the difference in total energy available and energy consumption and is used to assess the health of organism fitness for growth and reproduction. In this study near infra-red spectral (NIRS) quantitative data-...

Data presented in this article are related to the research article entitled “Near Infra-red spectroscopy quantitative modelling of bivalve protein, lipid and glycogen composition using single-species versus multi-species calibration and validation sets” (Bartlett et al., 2018) [1]. Band width selections were determined using a data-driven approach...

Near infrared spectroscopy (NIRS) quantitative modelling was used to measure the protein, lipid and glycogen composition of five marine bivalve species (Saccostrea glomerata, Ostrea angasi, Crassostrea gigas, Mytilus galloprovincialis and Anadara trapezia) from multiple locations and seasons. Predictive models were produced for each component using...

This paper provides a structure to the recently intensified discussion around 'data cubes' as a means to facilitate management and analysis of very large volumes of structured geospatial data. The goal is to arrive to a widely agreed and harmonised definition of a 'data cube'. To this end, we propose an approach that deconstructs the 'data cube' co...

Presentation about the complexity of DataCube systems and the challenges to make them interoperable

The Australian Geoscience Data Cube (AGDC) aims to realise the full potential of Earth observation data holdings by addressing the Big Data challenges of volume, velocity, and variety that otherwise limit the usefulness of Earth observation data. There have been several iterations and AGDC version 2 is a major advance on previous work. The foundati...

Discrete Global Grid Systems (DGGS) are spatial reference systems that use a hierarchical tessellation of cells to partition and address the entire globe. DGGS are designed to portray real-world phenomena by providing a digital framework on a common discrete geospatial data structure and they are commonly used to create virtual globes. DGGS differ...

The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Performance Computing and Data environment to rapidly process, restructure and analyse the Australian Lands...

Earth Observation data acquired by the Landsat missions are of immense value to the global community and constitute the world’s longest continuous civilian Earth Observation program. However, because of the costs of data storage infrastructure these data have traditionally been stored in raw form on tape storage infrastructures which introduces a d...

Australia's Earth Observation Program has acquired and archived satellite data for the Australian Government since the establishment of the Australian Landsat Station in 1979. Data have been acquired from many sensors and platforms including ERS, EnviSAT, MODIS, ASTER, SPOT and ALOS, although the bulk of the continuous observations are from the Lan...

Australia's Earth Observation Program has downlinked and archived satellite data acquired under the NASA Landsat mission for the Australian Government since the establishment of the Australian Landsat Station in 1979. Geoscience Australia maintains this archive and produces image products to aid the delivery of government policy objectives. Due to...

Failure to adequately correct for the effects of self-demagnetization can lead to misinterpretation of magnetic survey data, thereby reducing the success of mineral exploration programs. Numeric methods commonly used to correct for self-demagnetization of finite three-dimensional bodies are restricted to moderate magnetic susceptibilities (χ < 1 SI...

The downhole magnetometric resistivity (DHMMR) technique is an effective method for follow-up exploration of massive and disseminated sulphide deposits. The method comprises the “in-hole” measurement of low-amplitude, low-frequency magnetic fields associated with galvanic current flow between two current electrodes. This paper presents methods for...

The downhole magnetometric resistivity (DHMMR) method relies on the measurement of low-amplitude (similar to 100 pT), low-frequency (1-4 Hz) magnetic fields arising from galvanic current flow in the Earth. Normal magnetic sensors have been used extensively in surface magnetometric resistivity (MMR) surveys, but equivalent B-field probes have not be...

New heat‐flow data have been obtained in western Victoria at Horsham (89.8 ± 7.3 mW m) and Warracknabeal (97.0 ± 8.7 mW m). The results are significantly less than previous values obtained at Stawell and Castlemaine and consequently crustal models based on rapid cooling of high‐level melt emplacements require revision. More general models based on...