FORMATION OF A DIGITAL ELEVATION MODEL OF SOIL MOISTURE ADOPTED FROM TERRAIN PARAMETERS AND FOREST MANAGEMENT MATERIALS
The visibility of the spatial distribution of soil moisture is achieved through mapping, which is most simply carried out according to a digital model. Information on soil moisture is stored in the attribute table field of the Geographic Information System (GIS) layer and available for editing and later use. It is shown that a digital moisture model can be obtained through the cross-spectrum analysis of soil moisture with terrain parameters (frame of mapping - a digital elevation model) and ranking of forest types in order of increasing soil moisture (frame of mapping - a feature layer of inventory plots). The mapping results are demonstrated in terms of 2 test sites in mountainous and flat areas. Soil moisture mapping based on the DEM (digital elevation model) data was performed for a test site located in the Axial Western Sayan district of the mountain taiga forests; where forest types, due to the spatial cross-spectrum analysis, are distributed by terrain parameters and ranked by soil moisture. The result of the spatial analysis of the DEM is a raster (digital elevation model of soil moisture). Soil moisture mapping based on the forest management materials is performed for the test area representing the southern taiga forests of the Angara region. Ranking of soil moisture is made on the basis of inventory plot descriptions of the test site. The data of inventory plots was excluded from the analysis. Growth of tree species is a priori impossible down there (wetlands, rivers and lakes). In a simplified form, a ranked range of soil moisture is also demonstrated relative to the forest type as a generalized qualitative indicator of forest site conditions. Regardless of the land category (plantation, burnt area or cutover), each inventory plot receives an additional quantitative indicator of soil moisture, followed by the possibility of determining the regression equations for the potential productivity of tree species. It is found that in the presence of a feature layer of forest management data, soil moisture mapping is preferable to be adapted from the forest management materials. It is shown that there is a dependence of the productivity of stands on soil moisture.