RESULTS DERIVED FROM AUTOMATED AND VISUAL INTERPRETATION OF SATELLITE IMAGERY (EXAMPLE OF THE KUMBOGUT PROSPECTIVE AREA)
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This paper presents the results of automated interpretation of multispectral satellite imagery using the Kumbogut prospective area (Uzbekistan) as a case study. Advanced techniques of digital image processing, atmospheric correction, multispectral classification, and automated linear-structure analysis were applied to identify concealed geological features and zones of potential mineralization. Special emphasis was placed on constructing a lineament-density map and ranking domains according to the intensity of tectonic disruption. The most prospective classes - those characterized by moderate and below-moderate densities of tectonic disturbances - spatially coincide with the majority of known mineral occurrences and sampling points exhibiting elevated concentrations of ore-bearing components. The remotely delineated mineralization zones were further corroborated by spectral signatures acquired in the field using a Spectral Evolution PSM-3500 portable spectrometer. The study demonstrates that automated satellite-data interpretation, when combined with minimal ground verification, significantly enhances the efficiency of identifying ore-controlling structural frameworks in poorly exposed terrains.
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