The product SAR.GTC is a digital image generated from raw SAR data takes using up-tp-date auxiliary parameters, with the best available instrumental corrections applied, precisely located, corrected for terrain varieations and rectified onto a map projection. The ESA SAR.GTC format is based on the general definition of the SAR CEOS format (ref. ER-IS-EPO-GS-5902).

The product SAR.SLC is a single look complex digital image generated from raw SAR data using up-to-date auxiliary parameters. The image, projected on sland range, referred to as 'quarter scene' or quadrant corresponds to approximately one half (range) by one half (azimuth) of a full scence image. The ESA SAR.SLC format is based on the general definition of the SAR CEOS format (ref. ER-IS-EPS-GS-5902).

The product SAR.GEC is a digital image generated from raw SAR data takes using up-to-date auxiliary parameters, with the best available instrumental corrections applied, precisely located and rectified onto a map projection. The JERS SAR.GEC format is based on the general definition of the SAR CEOS format (ref. ER-IS-EPO-GS-5902).

The product SAR.GEC is a digital image generated from raw SAR data takes using up-to-date auxiliary parameters, with the best available instrumental corrections applied, precisely located and rectified onto a map projection. The JERS SAR.GEC format is based on the general definition of the SAR CEOS format (ref. ER-IS-EPS-GS-5902).

Landsat Path Row Map

The Otway-Sorell study is part of Infoterra's Global Seeps programme - a multi-phase two year exploration programme to create the definitive offshore seeps database for the worldwide exploration industry. The Otway-Sorell Basin study includes interpretations by Infoterra and Geoscience Australia that correlate multiple seep clusters with regional seismic and gravity datasets. The study provides exciting new evidence on the oil prospectivity of this offshore region.

Mapping and analysis of landscapes in Australia can now benefit from a continental mineral map coverage, helping to identify and characterise materials at the surface, with the recent release (August 2012) of the Satellite ASTER Geoscience Maps of Australia (http://c3dmm.csiro.au/Australia_ASTER/stage_1_geoscienceproductnotes.html). The new maps can provide mineralogical information on weathering, soils and regolith boundaries and compositions. The ASTER mosaic, made up of some ~3,500 60x60 km individual ASTER scenes, were produced by a multi-agency collaboration of Australian government partners. They represent the first of their kind: a continent-scale, public, web-accessible and GIS-compatible ASTER geoscience product suite. Led by CSIRO, Geoscience Australia along with several state government agencies, (including GSWA, GSQ, DMITRE and NTGS), have released 17 geoscientific products across the whole of Australia, with application to landscape analysis, environmental studies, mineral mapping and exploration, as well as soil-mapping and the agricultural sectors. Outcomes have included the formation of a platform for establishing national standards, geoscience product nomenclature, processing methods, accuracy assessments and traceable documentation. The ASTER bands are being used together with other complementary datasets (e.g. terrain indices, gamma-ray radiometrics) to build statistical predictive models on surface regolith geochemistry. This study is a preliminary investigation and assessment of how to use the new products for geomorphic applications, particularly landscape analysis and characterisation.

The product SAR.PRI is a digital image generated from raw SAR data using up-to-date auxiliary parameters, corrected for antenna elevation gain and range spreading loss. The image, projected on ground range, covers an area 75km wide and at least 75 km long. The JERS SAR.PRI format is based on the general definition of the SAR CEOS format (ref. ER-IS-EPO-GS-5902).

ACRES Tehnical Document - updated 4 September 2000. Dynamic range values for ACRES TM data products.

ALOS PALSAR DATA (Level 1.1-1.5) DATA FORMAT (Revision I) from Remote Sensing Technology Center of Japan.