Vegetation cover analysis of the mountainous part of north-eastern Siberia by means of geoinformation modelling and machine learning (basic principles, approaches, technology and relation to geosystem science)

For the first time, geoinformation modelling and machine learning approaches have been used to study vegetation cover of mountainous part North-Eastern Siberia – Orulgan medium-altitude mountain landscape province. These technologies allowed us distinguish a number mapping units that were for creation analysis 1:100 000 scale map interpreted key area. Based on studies, we decided upon basic principles, would serve as methodology basis further studies large region. Relief, slope aspect, genetic types sediments, moisture conditions selected supplementary factors vegetative indices differentiation both plant communities units.