Devonian-Carboniferous granites are widespread in Tasmania. In the east they intrude the Ordovician-Early Devonian quartzwacke turbidites of the Mathinna Supergroup, whereas the western Tasmanian granites intrude a more diverse terrane of predominantly shelf sequences, with depositional ages extending probably back to the Late Mesoproterozoic. The earliest (~400 Ma) I-type granodiorites in the east may be arc-related and pre-date the Tabberabberan Orogeny (~388 Ma), which appears to represent the juxtaposition of the two terranes. Subsequently more felsic and finally strongly fractionated I- and S-type granites were emplaced until ~373 Ma. In western Tasmania, mostly felsic and fractionated I- and S-types granites were emplaced from ~374-351 Ma, possibly in response to back-arc or post-collisional crustal extension

Pending

This is all the available tiles of 50k data

Map produced for the Australian Government Solicitor in December 2008 showing the Torres Strait Regional Claim (Q6040 of 2001) as mofidied and the Eastern Skipjack Fishery. For confidental/internal use by AGS and not for general release.

This workshop presented the results of the Mount Isa deep crustal seismic survey to mineral explorers and other interested geoscientists. The survey was carried out in 2006 across the Mount Isa Inlier and the Lawn Hill Platform in northwest Queensland as a collaborative project between Geoscience Australia, the Queensland Government (Geological Survey of Queensland), Zinifex Pty Ltd and the Predictive Mineral Discovery Cooperative Research Centre (pmd*CRC) using the facilities of ANSIR (the National Research Facility for Earth Sounding).

Measuring vulnerability to hazards is necessary to understand the true extent of risk. Determining social vulnerability relies on the integration of quantitative and qualitative methodologies. Qualitative approaches explore the capacity of communities to manage risk. Quantitative methods integrate data and analytical processes to develop vulnerability measures. Geoscience Australia (GA) has developed tools for modelling natural hazards and assessing vulnerability, building exposure (NEXIS) and infrastructure resilience (CIPMA). Work on social vulnerability began with the Cities Project in 1996. In 2008 GA developed a new method for assessing social vulnerability, within the Critical Infrastructure Project (CIP). CIP takes an all hazards approach to vulnerability, to include impacts like lifeline disruption. This paper discusses a quantitative method for measuring social vulnerability to hazards. The method uses nationally available data to assess individual communities - relative vulnerability. The method allows for a standard approach to identifying highly vulnerable areas.

Map produced for the Australian Government Solicitor in December 2008 showing the Torres Strait Regional Claim (Q6040 of 2001) as mofidied and the Western Skipjack Fishery. For confidental/internal use by AGS and not for general release.

In recent years RIAG has developed a statistical model to assess severe wind hazard in the non-cyclonic regions of Australia ('Region A' as defined in the Australian/NZ Standards for Wind Loading of Structures (AS/NZS 1170.2, 2002)). The model has been tested using observational data from wind stations located in South Eastern Australia. The statistical model matched the results of the Australian/NZ standard for wind loading of structures utilising a more efficient, fully computational method (Sanabria & Cechet, 2007a). We present a methodology to assess severe wind hazard in Australia for regions where there are no observations. The methodology uses simulation data produced by a high resolution regional climate model in association with empirical gust factors. It compares wind speeds produced by the climate model with observations (mean wind speeds) and develops functions which allow wind engineers to correct the simulated data in order to match the observed mean wind speed data. The approach has been validated in a number of locations where observed records are available. In addition a Monte-Carlo modelling approach is utilised to relate extreme mean wind speeds to extreme peak gust wind speeds (Sanabria & Cechet, 2007b).

DIGITAL NUMBER TO RADIANCE CALIBRATION CONSTANTS FOR ACRES LANDSAT MULTISPECTRAL SCANNER DATA

This is an extract from the ACRES Landsat Digital Data Format Document.