ACRES Technical Document - Landsat MSS Data Format Description. Table of Contents.

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 slant range, referred to as 'quarter scene' or quadrant corresponds to approximately 75 km wide and at least 75 km long. The JERS 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 instrubmental corrections applied, precisely located and recified onto a map projection. The ESA SAR.GEC format is based on teh general definistion of the SAR CEOS format (ref. ER-IS-EPO-GS-5902).

This paper presents a new style of bedload parting from western Torres Strait, northern Australia. Outputs from a hydrodynamic model identified an axis of bedload parting centred on the western Torres Strait islands (~142°15"E). Unlike bedload partings described elsewhere in the literature, those in Torres Strait are generated by incoherence between two adjacent tidal regimes as opposed to overtides. Bedload parting is further complicated by the influence of wind-driven currents. During the trade wind season, wind-driven currents counter the reversing tidal currents to a point where peak currents are directed west. The eastwards-directed bedload pathway is only active during the monsoon season. Satellite imagery was used to describe six bedform facies associated with the bedload parting. Bedform morphology was used to indicate sediment supply. Contrary to bedload partings elsewhere, sand ribbons are a distal facies within the western bedload transport pathway despite peak currents directed toward the west throughout the year. This indicates that sediment is preferentially trapped within sand banks near the axis of parting and not transported further west into the Gulf of Carpentaria or Arafura Sea.

Poster Paper submission detailing the progress, benefits and vision of the Unlocking the Landsat Archive Project

Geoscience Australia has created a DVD 'Landsat Metadata Map Ups of Indonesia' for the Indonesian Ministry of Forestry (MoF). The DVD contains Landsat metadata information sourced from USGS and GISTDA for selected years based on the catalogue searches that Geoscience Australia has done to-date. This is one of the action items from the Bali Remote Sensing workshop in February 2009.

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.

This two year collaborative project was established in July 2006 with the overall aim of developing, validating, evaluating and delivering a suite of publicly available, pre-competitive mineral mapping products from airborne HyMap hyperspectral imagery and satellite multispectral ASTER imagery. Moreover, it was important to establish whether these mineral maps would complement other precompetitive geological and geophysical data and provide valuable new information regards enhanced mineral exploration for industry. A mineral systems approach was used to appreciate the value of these mineral maps for exploration. That is, unlocking the value from these mineral maps is not simply by looking for the red bulls-eyes. Instead, mineral products need to be selected on the basis of critical parameters, such as what minerals are expected to develop as fluids migrate from source rocks to depositional sites and then into outflow zones with each associated with different physicochemical conditions (e.g. metasomatic metal budget, nature of the fluids, water-rock ratios, lithostatic pressure, pore fluid pressure, REDOX, pH, and temperature). One of the other key messages is to be able to recognise mineral chemical gradients as well as anomalous cross-cutting effects. These principles were tested using a number of case histories including, (1) the Starra iron oxide Cu-Au deposit; (2) the Mount Isa Pb-Zn-Ag and Cu deposits; and (3) Century Zn, all within the Mount Isa Block. These showed that the interpreted mineral alteration footprints of these mineral systems can be traced 10-15 km away from the metal deposition sites. In summary this project has shown that it is possible to generate accurate, large area mineral maps that provide new information about mineral system footprints not seen in other precompetitive geoscience data and that the vision of a mineral map of Australia is achievable and valuable.

Geoscience Australia is distributing Landsat MSS, TM and ETM+ data for 19 epochs or time frames ranging from 1972 to 2010 covering Australia. This data has been provided by the Department of Climate Change and Energy Efficiency formerly known as the Australian Greenhouse Office (AGO). This data is only available through Geoscience Australia and not through the Department of Climate Change and Energy Efficiency. Epoch formats Epochs are available as 1:1M tiles or as a Continental mosaic in the following formats: Tiles Epoch Projection Bands File Format All MGA94 All bands except Band 6 (thermal) ERS/BIL 2004, 2005 & 2006 Geographic All bands except Band 6 (thermal) ERS/BIL Pre 2004 Geographic Bands 543 for TM & ETM+ and all bands for MSS ERS/BIL 2002 MGA94 Panchromatic only ERS/BIL 2002 Geographic Panchromatic only ERS/BIL Continental mosaics Epoch Projection Bands File Format All Geographic 543/RGB bands for TM, ETM+ and MSS ECW 2002 Panchromatic Sharpened Geographic Bands 543 plus Panchromatic band ECW File sizes and media File sizes of the data are significant Epoch Minimum Date Maximum Date Tile data - ERS/BIL Continental mosaic - ECW Total size Gb - MGA Total size Gb - Geographic Total size Gb - Geographic 2006 4/11/2005 7/10/2006 162.1* 145.0* 4.6 2005 5/12/2004 9/10/2005 96.1 85.3 4.2 2004 1/09/2003 25/09/2004 96.1 85.3 4.6 2002 (No Pan) 9/11/2001 27/11/2002 96.1 43.4 4.6 2002 Pan 9/11/2001 27/11/2002 64.1 57.8 N/A 2002 Pan sharpened 9/11/2001 27/11/2002 N/A N/A 4.6 2000 (No Pan) 14/07/1999 21/09/2000 96.1 43.4 4.6 1998 20/05/1997 31/08/1998 96.1 43.4 3.9 1995 11/06/1994 29/08/1995 96.1 43.4 3.9 1992 1/01/1992 11/03/1993 96.1 43.4 3.9 1991 27/09/1990 9/07/1991 96.1 43.4 3.9 1989 1/07/1989 3/04/1990 112.1 43.4 4.0 1988 12/07/1987 7/09/1988 16.1 14.5 3.7 1985 18/06/1984 20/07/1985 16.1 14.5 3.6 1980 21/09/1979 24/01/1981 16.1 14.5 3.7 1977 25/02/1975 20/12/1978 16.1 14.5 2.7 1972 28/07/1972 29/10/1976 16.1 14.5 3.5 *Includes date and boundary (datebound) data. Sensor/Epoch Landsat TM and ETM+ SLC-Off: 2006; Landsat MSS: 1972, 1977, 1980, 1985, 1988; Landsat TM: 1989*, 1991, 1992, 1995, 1998, 2004 and 2005; and Landsat ETM+: 2000 and 2002. *Includes simulated MSS from Landsat TM (MGA projection only). Projection Either MGA94 OR Geographic. Bands All bands except thermal bands - MGA coordinates; All bands except thermal bands - Geographical coordinates, 2004, 2005 & 2006 epochs; 5,4,3 for TM & ETM+ and all bands for MSS - Geographical coordinates, Pre 2004 epochs only; Panchromatic band available separately only for 2002 epoch - MGA & Geographical coordinates. Processing Ortho-corrected, radiometrically corrected and mosaiced into tiles. All data is calibrated to a common geographic and spectral base (AGO year 2000 base). Note: Single scene boundaries can be quite obvious within a tile due mainly to the seasonal changes associated with different acquisition dates. Tiling system Tiles approximate 1:1 million map sheets covering Australia. Most tiles contain overlap beyond the quoted extents. Coverage View a detailed map of the 1972 to 2005 epoch extents. Download an ESRI shapefile of the date and boundary (datebound) of each Landsat scene used to produce the epochs from 1972 to 2005. The introduction of SLC-Off and bumper mode Landsat products for the 2006 epoch has meant that a new method has been required for creating datebound information. The new 2006 date bounds are currently in raster form as opposed to the traditional vector. The rasters are in ER Mapper Storage format (ERS) format as Geodetic or MGA projections - file size 61 or 66 Gb. Pixel size 25 metres TM and ETM+ and 50 metres MSS. Format Generic BIL files with ER Mapper ASCII header. File size Variable -11:45 AM 1/04/2010: This data is available under Creative Commons Licence 3.0: http://creativecommons.org/licenses/by/3.0/au/

The developed method of long-strip adjustment for orientation and georeferencing of PRISM imagery is based on the merging of successive images within a single satellite pass into what amounts to a single image covering the entire orbit segment. Metadata for each separate scene is merged to produce a single, continuous set of orbit and attitude parameters, such that the entire strip of tens of images can be treated as a single image, even though the separate scenes are not actually merged. Within the strip adjustment, the orbit parameters are refined based on the provision of GCPs at each end of the strip. A minimum of four GCPs is required to achieve 1-pixel georeferencing accuracy, even for strip lengths of 1000 km or more. The merging of orbit data results in a very considerable reduction in both the number of unknown orientation parameters and the number of required GCPs in the sensor orientation adjustment. Indeed the number of required GCPs can drop from well over 100 to only 4-6 for a 50-image orbit segment. Moreover, unlike in traditional photogrammetric strip adjustment, there is no need for tie-point measurements between images. Once the adjusted orbit parameters are obtained, the georeferencing and orthorectification process can revert to a fully automatic image-by-image computation. Following orthorectification, a final mosaicking is undertaken to produce the reference image, namely the AGRI. AGRI was needed because imagery from emerging new satellites can be automatically registered to it, consistently and accurately. AGRI was made possible by the developed long-strip adjustment approach to satellite image georeferencing. This technique, implemented in Barista, rendered the project feasible in time, logistics and cost. It reduced the image registration problem from correction of almost 10,000 scenes to correction of just 105 orbit segments. Moreover, the number of required GCPs was reduced from more than 30,000 to less than 1000.