Python code for running resistor network models to relate permeability and electrical resistivity

GA's 3D DataViewer, built off GA's EarthSci platform.

The Quick Attribute Calculator v.1.0 is a toolbar developed for use with ArcGIS 9.3 on Windows XP. It enables a user to select an attribute from a drop-down list and change the value of a sub-set for bulk updates.

Provides R codes for interpolation of unstructured point data

aws-openquake is a Python (Boto3) script which installs, runs and downloads results from seismic hazard and risk software (OpenQuake Engine) on Amazon Web Services EC2. https://github.com/GeoscienceAustralia/aws-openquake

EarthSci data viewer

RICS (Rapid Inventory Collection System) is a vehicular data collection system. It collects geo-tagged imagery and user added property damage-level information. The system consists of Ethernet cameras, tripods, circuitry and the RICS software that runs on a laptop. It was successfully deployed following the 2009 Victorian Bushfires, the 2010 Kalgoorlie and Christchurch Earthquakes, the 2011 Brisbane floods and TC Yassi.

Turned off due to lack of metadata, custodian and product is un-locatable

This software package is used to produce Bushfire Attack Level (BAL), a measure of the severity of a building's potential exposure to bushfire, based on Method 1 in Australian Standard AS 3959 (2009)--Construction of buildings in bushfire-prone areas.

Seismological data are used for a variety of purposes, from earthquake hazard zonation to mapping Earth structure and mineral resource exploration. The immense volumes of seismic data now available challenge the application of routine seismic analysis techniques using existing tools. These tools fail to take advantage of recent advances in computing hardware and data formats. Given the scale of data to process and the computational complexity of algorithms involved, a more efficient approach that scales on high-performance computing and data (HPC-HPD) platforms is needed. In addition, different agencies have tended to use bespoke and ad hoc data formats, data curation processes and quality standards, hindering large-scale analyses and modelling. High-performance seismological tools (HiPerSeis) facilitate the transformation of source seismological data into formats geared towards HPC-HPD platforms. HiPerSeis also implements optimised seismological workflows that can be run at large scale on HPC-HPD platforms. <b>Citation:</b> Hassan, R., Hejrani, B., Medlin, A., Gorbatov, A. and Zhang, F., 2020. High-performance seismological tools (HiPerSeis). In: Czarnota, K., Roach, I., Abbott, S., Haynes, M., Kositcin, N., Ray, A. and Slatter, E. (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.