GEOLINKS International Conference 2019, Book 1
EVALUATION OF ORE-CONTROLLING GEOLOGICAL STRUCTURES USING REMOTE SENSING
Prof. Adilkhan Baibatsha, Mrs Zakira Baibatchayeva
As a result of this work, remote sensing bases were obtained based on Landsat and Aster materials, a cosmostructural scheme in the East Balkhash site (Kazakhstan), and the main ore-controlling factors were identified, on the basis of which promising sites for the detection of endogenous mineralization were identified. The selected digital satellite images provide a given scale of research and have the maximum spectral completeness, that is, they cover the area of research in all possible spectral ranges. On cosmostructural schemes, objects of linear morphology show faults, areas of increased fracturing, geological boundaries, bedding elements, dyke bodies, and other elements that have a geological nature. To identify the linear structures, the whole complex of source and derivative space materials was used. In conditions of poorly dissected relief, methods for multi-oriented gradients and various filtering methods turned out to be especially effective for emphasizing linear structures. In identifying the ring and arc structures in the area of work, the following features were used: arc and ring borders between blocks with different textures of space materials; borders of landscape inhomogeneities, arc and ring morpholog. Radially ring structures are conventionally divided into structures of the second-order and small. Structures with radii from 4 to 48 km are assigned to ring structures of the second-order, and small structures with radii less than 4 km are assigned to small structures. Stratified complexes in the studied areas are clearly divided into loose and lithified ones. Neogen-Quaternary proluvial, alluvial-proluvial, alluvial, aeolian and undifferentiated sediments are classified as loose. The lithified stratified complexes are creased in folds with a predominant northwestern strike of the axes. In identifying the bodies of intrusive rocks, spectral libraries, textural features of satellite images and the authors' experience were used.
Remote sensing, Ore controlling factors, Cosmogeological scheme, Prospective blocs