The Geoimage Spectral Suite is a comprehensive set of image enhancements that utilises data from ASTER or WorldView-3 satellites, providing a wide range of distinct advantages. The suite consists of various techniques and algorithms designed to extract valuable information from satellite imagery, enabling you to gain deeper insights and enhance their analysis. Each enhancement within the suite offers its own unique benefits, making it a versatile and powerful tool for geospatial data analysis.
The Geoimage Spectral Suite utilises WorldView-3 data to highlight features based on material reflectance characteristics. The spatial units vary in size, and the satellite measures the integrated reflectance of materials within these areas. The higher resolution of WorldView-3 imagery when compared to ASTER reduces spectral mixing from different materials. However, factors like vegetation, shadows, and clouds affect the measured signal.
The enhancements presented are variations of proven techniques that utilise spectral responses. WorldView-3 imagery provides high-resolution information useful for geological mapping and identifying mineralisation-related alterations. Different colour composites and enhancements are available for vegetation, iron oxides, SWIR bands, and clay-bearing minerals.
The spectral suite has long been a trusted tool for explorers seeking to better delineate mineral exploration targets. By analysing the reflectance characteristics of surface materials, it helps identify potential mineral deposits and occurrences across large areas of ground. Its enhancements can highlight alteration zones associated with mineralisation, pinpointing areas where rock has been chemically modified and signalling the potential presence of valuable minerals.
The Geoimage Spectral Suite utilises ASTER data to enhance imagery and highlight features based on reflectance characteristics. It provides complementary information on ground cover and lithology using visible and near-infrared, short-wavelength infrared (SWIR), and thermal infrared (TIR) data. The enhancements are achieved through various techniques and band combinations. It includes false colour and true colour schemes, greyscale enhancements for iron oxides, normalised difference vegetation index, and decorrelation stretching for SWIR bands.
The suite also offers estimations for alteration minerals like epithermal clay minerals, iron oxides, silica, and propylitic alteration. TIR enhancements focus on emissivity ratios for rock-type identification.