Geomorphic indices informatively for platformian folding prediction

Abstract

An algorithm of informative geomorphic indices discrimination and their complexes identification is introduced aiming to prediction of sedimentary .mantle structural surfaces geometry. Using local uplifts of the Lower Volga region as the case study, the author shows that the morphometric indices of present-day topography are most important for prediction of the depth of Meso-Cenozoic structural surfaces; the quantitative indices of erosional network obtained by aerial photos interpretation allow predicting the geometry of deep structural surfaces.