image processing
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Londonderry - Drysdale Potassium (red), Thorium (green), Uranium (blue) colour composite
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The International Forest Carbon Initiative, IFCI, is part of Australia's contribution to international efforts on reducing carbon emissions from deforestation and forest degradation. It focuses on technology transfer to developing countries by assisting them to implement national carbon accounting schemes modelled on that established by the Department of Climate Change and Energy Efficiency. Key inputs to those accounting schemes are mosaics of the best available satellite scenes in a given year. Collections of these mosaics, spanning periods of at least a decade, are used to determine changes to the extent and type of forest cover. Those characterisations are used to determine net forest carbon flux, which is a significant component of overall carbon flows in tropical countries. In support of these activities, Geoscience Australia manages a project to obtain, process, archive and distribute large volumes of satellite data, initially with a focus on Indonesia and other parts of Asia. Three key changes from 'business as usual' activities were required to process and manage, on a large scale, a satellite data time-series to support the International Forest Carbon Initiative. First, at Geoscience Australia, a new facility known as the Earth Observation Data Store is being developed. Secondly, innovative techniques such as the use of USB Flash Drives for data distribution and of DVDs for quick look catalogue distribution have proved beneficial for the participating agencies in developing countries, as well as for data transfers from regional satellite archives. Thirdly, much of the data, especially the Landsat satellite imagery, has for the first time been made available to the users with minimal restrictions, via the employment of open content licensing known as Creative Commons.
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Legacy product - no abstract available
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Legacy product - no abstract available
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In many areas of the world, vegetation dynamics in semi-arid floodplain environments have been seriously impacted by increased river regulation and groundwater use. With increases in regulation along many rivers in the Murray-Darling Basin, flood volume, seasonality and frequency have changed which has in turn affected the condition and distribution of vegetation. Floodplain vegetation can be degraded from both too much and too little water due to regulation. Over-regulation and increased use of groundwater in these landscapes can exacerbate the effects related to natural climate variability. Prolonged flooding of woody plants has been found to induce a number of physiological disturbances such as early stomatal closure and inhibition of photosynthesis. However, drought conditions can also result in leaf biomass reduction and sapwood area decline. Depending on the species, different inundation and drought tolerances are observed. Identification of groundwater-dependent terrestrial vegetation, and assessment of the relative importance of different water sources to vegetation dynamics, typically requires detailed ecophysiological studies over a number of seasons or years as shown in Chowilla, New South Wales [] and Swan Coastal Plain, Western Australia []. However, even when groundwater dependence can be quantified, results are often difficult to upscale beyond the plot scale. Quicker, more regional approaches to mapping groundwater-dependent vegetation have consequently evolved with technological advancements in remote sensing techniques. Such an approach was used in this study. LiDAR canopy digital elevation model (CDEM) and foliage projected cover (FPC) data were combined with Landsat imagery in order to characterise the spatial and temporal behaviour of woody vegetation in the Lower Darling Floodplain, New South Wales. The multi-temporal dynamics of the woody vegetation were then compared to the estimated availability of different water sources in order to better understand water requirements.
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Hyperspectral images from the Eastern Fold Belt of the Mount Isa Inlier, released by the collaborative Queensland NGMM project between GSQ and CSIRO, were validated as new tool for the detection of IOCG related alteration. High resolution of mineral maps derived from hyperspectral imaging (4.5m/pixel) enables the recognition of various types of hydrothermal alteration patterns and the localisation of fluid pathways. Groundtruthing of a suite of mineral maps was conducted in 2007. Though sample analyses in the lab is still in process, but some preliminary results already show some promising features. In summary hyperspectral images provide a powerful tool for the recognition of various hydrothermal alteration patterns and could be used in combination with other geophysical remote sensing data, such as radiometrics and magnetics. Limitations of this technique are defined by unsatisfactory coverage of mineral maps, man made features, river systems and distribution and composition of debris. A good knowledge of the local geology is necessary to extract the full information provided by the mineral maps. Calibration of ASTER data with the hyperspectral data can hopefully extend interpretation made from the HyMap data into adjacent areas, which are only covered by ASTER. 60pp final report and databases.
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ASTER Geoscience GIS products now available for the Gawler-Curnamona region in South Australia (AUSGEOnews title) Geoscience Australia, in collaboration with CSIRO and PIRSA are releasing a suite of 14 new ASTER mosaiced products for a significant part of the Gawler-Curnamona region. About 110 ASTER scenes have been mosaiced and processed into geoscience products that can be quickly and easily integrated with other datasets in a GIS. The products have been pre-processed and calibrated with available HyMap data and provide basic mineral group information such as Ferric Oxide abundance, AlOH group distribution as well as mosaiced and levelled false colour and regolith ratio images. These images, along with accompany notes are available for free ftp download online at: ftp://ftp.arrc.csiro.au/NGMM/Gawler-Curnamona ASTER Project/
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Soil mapping at the local- (paddock), to continental-scale, may be improved through remote hyperspectral imaging of surface mineralogy. This opportunity is demonstrated for the semiarid Tick Hill test site (20 km2) near Mount Isa in western Queensland. The study of this test site is part of a larger Queensland government initiative involving the public delivery of 25,000 km2 of processed airborne hyperspectral mineral maps at 4.5 m pixel resolution to the mineral exploration industry. Some of the mineral maps derived from hyperspectral imagery for the Tick Hill area include the abundances and/or physicochemistries (chemical composition and crystal disorder) of dioctahedral clays (kaolin, illite-muscovite and Al smectite, both montmorillonite and beidellite), ferric/ferrous minerals (hematite/goethite, Fe2+-bearing silicates/carbonates) and hydrated silica (opal) as well as soil water (bound and unbound) and green and dry (cellulose/lignin) vegetation. Validation of these hyperspectral mineral products is based on field soil sampling and laboratory analyses (spectral reflectance, X-ray diffraction, scanning electron microscope and electron backscatter). The mineral maps show more detailed information regarding the surface composition compared with the published soil and geology (1:100,000 scale) maps and airborne radiometric imagery (collected at 200 m line spacing). This mineral information can be used to improve the published soil mapping but also has the potential to provide quantitative information suitable for soil and water catchment modeling and monitoring.
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Includes copy of AGSO Record 1997/20
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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.