HyVista Corporation was contracted by DMITRE during August-September 2013 to process an archived set of HyMap airborne hyperspectral scanner data of the Earth's surface radiance properties, that had previously been acquired on 26/2/2003 from a...
HyVista Corporation was contracted by DMITRE during August-September 2013 to process an archived set of HyMap airborne hyperspectral scanner data of the Earth's surface radiance properties, that had previously been acquired on 26/2/2003 from a survey window covering 352.1 sq km of the Anabama region in South Australia. The nominal pixel size acquired was 4.5 m x 4.5 m. DMITRE requested that this dataset be processed using HyVista's latest algorithms. The HyMap instrument is an airborne hyperspectral scanner delivering 126 separate radiance wavelength bands (approx 18 nm width per band) of imagery over the 450 nm to 2500 nm spectral interval. The spectral data acquisition system has been designed to operate in aircraft that have standard aerial photo-ports. The angular width of the recorded image is 61.3 degrees or about 2.3 km when operating 2000 m above ground level. Typically, the lateral spatial resolution of surface materials achieved with the instrument is in the range 3–10 m, dependent on the above-ground elevation of the aircraft. HyMap image data pre-processing is carried out on a survey flight line strip-by-strip basis, to produce radiance, apparent reflectance, and GLT (Geometric Lookup Table) files for later geometric rectification/mosaicing. The apparent reflectance images are corrected for cross-track and signal level (i.e. they are corrected for varying solar illumination). These reflectance images are then geo-corrected, to position each individual pixel in its accurate geo-location in the UTM/WGS 84 map projection. The corrected image data survey strips are then mosaiced to produce a seamless, homogeneous data (map) cube for the whole survey area (a map production step called 'Level 1C processing'). This data-cube is then processed further to produce the various Level 2 and 3 image products (Decorrelation Stretch RGB [red-green-blue], Mineral Map Multimineral Rule Classified, Mineral Map Ternary RGB, Mineral Maps Pseudocolour, Mineral Map Greyscale Threshold, MNF [Minimum Noise Fraction algorithm] Transform RGB, Overview Colour Composites (in both true and false colour), and Wavelength Mapping - Mineral Chemistry and Composition). The last type of processed image includes three separate products designed to depict either mica Al content, iron oxide composition or carbonate Mg/Ca ratio-composition. The above spectral image and map products are designed to identify and map outcrop to district-scale mineralogic and lithologic geology, the aim being to disclose any hidden primary mineralisation via the discovery and mapping of its secondary alteration halo. At DMITRE’s request, minimal masking (to remove vegetation, water and cultural features) was applied to each of the raw data files, but a high degree of lithologic and mineral mapping accuracy was still achieved. A large portion of the semi-arid Anabama survey area is covered by some component of regolith, including but not limited to weakly haematite-stained sands, weathered saprolite, and colluvium / sheetwash cover. However, the DCS and MNF images, which are interpretative and require ground confirmation as to features they are mapping, provide a useful level of detail above that shown by DMITRE's published 100K geology map. Additionally, the rule classified mineral maps provide a guide to the nature of weathered and/or transported cover, which should allow targets to be traced back to the source. The high resolution data (high signal to noise and narrow bandwidth sampling) acquired by the HyMap sensor maps variations in both chemical composition and hydrothermal alteration temperature of mineralogy, which should be followed up with desktop and ground investigations to determine a noted feature's suitability for exploration targeting. As white mica is prevalent throughout the survey region, wavelength shift maps have been provided which should be combined with geochemical assay data to assist in target generation.
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