Abstract
Currently, methods for interpreting various indicators of plantings by aerial and satellite images based on GIS technologies have gained significant development. They actively implement regression relationships between taxation indicators of stands. The object of the study are modal larch stands of the Altai-Sayan region, which are characterized by both coniferous and mixed forests with larch (Larix Sibirica L.) fraction from 40 to 90 % and an admixture of birch (Betula pendula R.), aspen (Populus tremula L.), fir (Abies sibirica L.) and cedar (Pinus sibirica D.). Comparison of coniferous and mixed forests did not reveal significant differences in the growth lines. Based on paired and multiple linear regression equations for coniferous and mixed modal larch forests, a set of taxation interpretation models is obtained with the aim of approximating the average diameter, age and standing volume of stands according to such interpretation indicators as average height, completeness, bonitet class and larch fraction in the composition. Thus, a number of equations have been developed for modal larch forests, which are recommended for remote sensing of larch forests in the Altai-Sayan region.
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