Prospects of Remote Sensing for Mineral Deposits Prediction in Kazakhstan

Abstract

AbstractUsing remote sensing database (Landsat and Aster materials), promising areas for the detection of endogenous mineralization were identified. On documented cosmo-structural schemes, objects of linear morphology occur: faults, areas of increased fracturing, geological boundaries, bedding elements, dykes and others. Under conditions of weakly dissected relief, multidirectional gradients and various filtering methods are particularly effective for isolating linear structures. Arc and ring structures are recognized based on their boundaries between blocks with different textures of space materials as well as their morphology. Borders of landscape heterogeneity are also taken under consideration. Ring structures are conventionally divided into structures of the second order and smaller. Bodies of intrusive rocks are established using spectral libraries and textural features of satellite images.KeywordsRemote sensingSpace image interpretationOre-controlling factorsCosmo-geological schemesPromising areas