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).

This document is the Data Format Control Book (DFCB) for the Landsat 7 (L7) Enhanced Thematic Mapper Plus (EMT+) Level Zero-R Distribution Product (LORp). It focuses on the Hierarchical Data Format (HDF) of the Landsat 7 L0R product available from the Centre for Earth Resources Observation and Science (EROS) Landsat Archive Manager (LAM).

This document defines the Computer Compatible Tape (CCT) format for raw, quicklook, bulk-corrected (georeferenced) system-corrected and precision processed Landsat Thematic Mapper (TM) imagery data acquired from the Landsat 4, Landsat 5 and subsequent satellites.

Improving techniques for mapping land surface composition at regional- to continental-scale is the next step in delivering the benefits of remote sensing technology to Australia. New methodologies and collaborative efforts have been made as part of a multi-agency project to facilitate uptake of these techniques. Calibration of ASTER data with HyMAP has been very promising, and following an program in Queensland, a mosaic has been made for the Gawler-Curnamona region in South Australia. These programs, undertaken by Geoscience Australia, CSIRO, and state and industry partners, aims to refine and standardise processing and to make them easily integrated with other datasets in a GIS.

Normalising for atmospheric, land surface bidirectional reflectance distribution function (BRDF) and terrain illumination effects are essential in satellite data processing. It is important both for a single scene when the combination of land cover, sun, view angles and terrain slope angles create anisotropy and for multiple scenes in which the sun angle changes. Geoscience Australia (GA) is establishing a procedure to conduct physically based atmospheric BRDF and terrain illumination correction for moderate spatial resolution satellite imagery (10-100 m) such as Landsat using a coupled atmospheric and BRDF model. In particular, the method is not dependent on the image data, does not need extensive field data, can be applied equally to different environments and used with different sensors in a consistent way. Furthermore, the corrected surface reflectance derived using this method can be used to calibrate and cross-calibrate satellite sensors. More importantly, the normalized reflectance can be used for time series analysis to trace climate change and land cover variation using multiple sensors (including satellite, airborne and ground based). In this paper, we will describe the algorithm being progressed at GA. Preliminary results from the algorithm will be compared with ground based reflectance measurements for selected validation sites. The paper will also discuss how the environmental input data for the model, such as aerosol, water vapour and BRDF parameters are selected and applied.

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.

The Landsat series of satellites commenced acquiring remotely sensed data with the launch of Landsat 1 in 1972. The Landsat satellites travel at an altitude of 705 kilometres and provide coverage of the entire globe every 16 days. The Multispectral Scanner (MSS) sensor has been the primary Earth-observing instrument. MSS images in four spectral bands (called Bands 4-7 on LS1,2&3 and 1-4 on LS 4&5) covering the visible and near infrared regions of the electromagnetic spectrum. The MSS ground swath is 185 kilometres wide, with a nominal 80 metre pixel resolution. The archive of ACRES MSS data dates from 1979 onwards. ACRES MSS archive contains data from the following Landsat satellites: Landsat 2 commenced November 1979, ceased Feb 1982 Landsat 3 commenced November 1979 ceased August 1982 Landsat 4 commenced August 1982, ceased May 1984 Landsat 5 commenced 9 April 1984, ceased November 1997 - Band 4 (original band 7) data poor quality from 29 April 1994 - Band 4 (original band 7)switched off permanently 20 August 1995 Note that MSS data from Landsat 3 & 4 is of poor quality and requirements for this data need to be discussed with ACRES prior to purchase.

The Landsat series of satellites commenced acquiring remotely sensed data with the launch of Landsat 1 in 1972. Landsat satellites travel at an altitude of 705 kilometres and provide coverage of the entire globe every 16 days. Landsat 7, launched on 15 April 1999, carries the Enhanced Thematic Mapper Plus (ETM+). As the name suggests, the ETM+ sensor is similar to the TM sensor but has some added features. It provides imagery in the same seven spectral bands as the TM sensor with 30 metre resolution, but has an added panchromatic band with 15 metre pixel resolution. ETM+ also has an enhanced thermal band with a 60 metre resolution. Its ground swath is 185 kilometres. A full scene is approximately 184 kilometres by 172 kilometres. The archive of ACRES products includes ETM+ data from 6 July 1999 onwards.

Earth Observation -1 (EO-1) satellite was launched in November 2000 to demonstrate new technologies such as Hyperion (hyperspectral data containing 220 bands) and Advanced Land Imager (ALI) sensor. ACRES downlinks EO-1 data for USGS through an informal arrangement with NASA but there is no local archive or catalogue. However, ACRES distributes EO-1 products imported from US through a special arrangement with the United States Geological Survey (USGS). This special arrangement permits ACRES customers to receive unlimited acquisitions over their area of interest until it is successfully acquired with <25% cloud cover.