If colour TMI map is purchased with greyscale TMI map the price is $269.80 (inc GST) for both

Pixel Quality Assessment describes the results of a number of quality tests which are used to determine the quality of a Landsat image product in terms of, pixel saturation, pixel contiguity between spectral bands, whether the pixel is over land or sea, cloud contamination, cloud shadow and topographic shadow. Pixel Quality is used to filter an input Landsat image for downstream processing in a production workflow. It has general applicability to a number of image processing scenarios.

Legacy product - no abstract available

Legacy product - no abstract available

Londonderry - Drysdale Potassium (red), Thorium (green), Uranium (blue) colour composite

This product includes the remote sensing information booklet + student activities + one set of five A4 image cards. Discovering Remote Sensing - an introduction does not contain any overhead projection images. Suitable for secondary Years 8-12.

Legacy product - no abstract available

No abstract available

The widespread utilisation of orthocorrected imagery facilitates higher quality decisions for land use mapping, environmental monitoring and infrastructure planning. To enable the transition to orthocorrected imagery as the norm, Geoscience Australia (GA) is collecting Ground Control Points (GCPs) suitable for geo-coding ALOS PRISM imagery to sub-pixel accuracy. Using a pushbroom sensor model and strip adjustment, innovative software developed by the Cooperative Research Centre for Spatial Information (CRC-SI), known as BARISTA, is capable of long pass orthocorrection processing using only a small number of GCPs located near both ends of each pass. Consequently, GA is collecting, through the private sector, GCPs located mainly near the coastal fringe of the continent.

Extensive benefits and tools can be gained for mineral explorers, land-users and government and university researchers using new spectral data and processing techniques. Improved methods were produced as part of a large multi-agency project focusing on the world-class Mt Isa mineral province in Australia. New approaches for ASTER calibration using high-resolution HyMap imagery through to testing for compensation for atmospheric residuals, lichen and other vegetation cover effects have been included in this study. . Specialised data processing software capable of calibrating and processing terabytes of multi-scene imagery and a new approach to delivery of products, were developed to improve non-specialist user interpretation and comparison with other datasets within a GIS. Developments in processing and detailed reporting of methodology, accuracies and applications can make spectral data a more functional and valuable tool for users of remote sensing data. A highly-calibrated approach to data processing, using PIMA ground samples to validate the HyMap, and then calibrating the ASTER data with the HyMap, allows products to have more detailed reliable accuracies and integration with other data, such as geophysical and regolith information in a GIS package, means new assessments and interpretations can be made in mapping and characterising materials at the surface. Previously undiscovered or masked surface expression of underlying materials, such as ore-deposits, can also be identified using these methods. Maps and products made for this project, covering some ~150 ASTER scenes and over 200 HyMap flight-lines, provide a ready-to-use tool that aids explorers in identifying and mapping unconsolidated regolith material and underlying bedrock and alteration mineralogy.