We've Moved!
Visit SDSU’s new digital collections website at https://digitalcollections.sdsu.edu
Description
Hyperspectral data has become an important tool in addressing numerous geological applications in the past few years. The increase in availability of the high resolution data, has resulted in more geologic research projects involving the use·of this remote sensing imagery. The complexity of the data obtained from this high spectrometer has created a dramatic need for new software to manipulate the imagery. Groups such as the USGS Spectroscopy Lab have developed a sophisticated library of spectral signatures, algorithms to apply these signatures, and software for the analysis of this data type. This report uses the Cuprite Mining District to compare data analysis procedures that are available at this time. The location of Cuprite, Nevada has been used in many remote sensing research projects. The identifiable zones of hydrothermal alteration, distinctive mineralogy, and lack of vegetation provide and excellent working environment. There are a few groups that have used this location in the development of hyperspectral imaging techniques, verifying the results with field mapping, field and laboratory spectrometers, and X-ray analysis of hand samples. As large volumes ofhyperspectral data will become available from several new satellites this summer, many researchers are trying to understand how to most effectively use these narrow-band spectral data. In contrast to the current major imaging product, Landsat 5 Thematic Mapper data that has 7 bands (broad band sensor), the hyperspectral satellite will image 224 channels or more. Although the handling of this vast amount of information may seem a hindrance, projects are reporting success of applications in research and commercial endeavors.
