<div>The A1 poster incorporates 4 images of Australia taken from space by Earth observing satellites. The accompanying text briefly introduces sensors and the bands within the electromagnetic spectrum. The images include examples of both true and false colour and the diverse range of applications of satellite images such as tracking visible changes to the Earth’s surface like crop growth, bushfires, coastal changes and floods. Scientists, land and emergency managers use satellite images to analyse vegetation, surface water or human activities as well as evaluate natural&nbsp;hazards.</div>

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

We measured the light absorption properties of two naturally occurring Australian hydrocarbon oils, a Gippsland light crude oil and a North West Shelf light condensate. Using these results in conjunction with estimated sensor environmental noise thresholds, the theoretical minimum limit of detectability of each oil type (as a function of oil thickness) was calculated for both the hyperspectral HYMAP and multispectral Quickbird sensors. The Gippsland crude oil is discernable at layer thickness of 20 micro metres or more in the Quickbird green channel. The HYMAP sensor was found to be theoretically capable of detecting a layer of Gippsland crude oil with a thickness of 10 micro metres in approximately six sensor channels. By contrast, the North West Shelf light condensate was not able to be detected by either sensor for any thickness up to 200 icro metres. Optical remote sensing is therefore not applicable for detecting diagnostic absorption features associated with this light condensate oil type, which is considered representative for the prospective Australian Northwest Shelf area. We conclude that oil type is critical to the applicability of optical remote sensing for natural oil slick detection and identification. We recommend that a sensor- and oil-specific sensitivity study should be conducted prior to applying optical remote sensors for oil exploration. The oil optical properties were obtained using two different laboratory methods, a reflectance-based approach and transmittance-based approach. The reflectance-based approach was relatively complex to implement, but was chosen in order to replicate as closely as possible real world remote sensing measurement conditions of an oil film on water. The transmittance-based approach, based upon standard laboratory spectrophotometric measurements was found to generate results in good agreement with the reflectance-based approach. Therefore, for future oil- and sensor-specific sensitivity studies, we recommend the relatively accessible transmittance-based approach, which is detailed in this paper.

Joint Release of the National ASTER geoscience maps at IGC The ASTER (Advanced Spaceborne Thermal Emission and Reflectance Radiometer) Geoscience Maps are the first public, web-accessible, continent-scale product release from the ASTER Global Mapping data archive. The collaborative Australian ASTER Initiative represents a successful multi-agency endeavour, led by the Western Australian Centre of Excellence for 3D Mineral Mapping (C3DMM) at CSIRO, Geoscience Australia and the State and Territory government geological surveys of Australia, along with other national and international collaborators. National ASTER geoscience map These geoscience maps are released in GIS format as 1:1M map-sheet tiles, from 3,000 ASTER scenes of 60x60km. Each scene was cross-calibrated and validated using independent Hyperion satellite imagery. The new ASTER geoscience products range in their application from local to continental scales, and their uses include mapping of soils for agricultural and environmental management, such as estimating soil loss, dust management and water catchment modelling. They will also be useful for resource exploration, showing host rock, alteration and regolith mineralogy and providing new mineral information at high spatial resolution (30m pixel). This information is not currently available from other pre-competitive geoscience data.

These datasets are a subset of the mosaic of Australian Landsat MSS images of Australia. ldsatmss.bil is a 500m pixel Lambert Conformal Conic projected dataset. ldsatmssdd.bil is a 0.0048 degree geographic projected dataset. NOTE The original image is located in the corporate storage system at /d/geo/store/data/image/landsat_mss/aus_mosaic. In this directory there is extensive documentation (OVERVIEW.TXT) which describes all contents.

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.

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).

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 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.