Technology of Integrated Assessment of Wood Resources by Remote Sensing Methods of the Earth

Abstract

The relevance and significance of the problem of automated forest inventory is dictated by regulatory documents defining the main directions and principles of digitalization of the country’s economic sectors, including the forest sector. The article is devoted to the problem of automated inventory of forests and digitalization of wood resources by technical means of ground-based taxation of stands, as well as remote aerial photography methods, analytical decoding of the forest canopy and determination of the complex of taxation indicators through the use of information and reference systems of multidimensional forest taxation standards. To construct an orthophotoplane and obtain a digital vegetation model, aerial photography works that meet the requirements of the photogrammetric method and the method of air-laser scanning (ALS) are described. The requirements for the parameters of aerial photography using the photogrammetric method, as well as for the parameters in the BOS, are set out. Variants of the technology of inventory of stands are proposed, indicating the appropriate tools for obtaining remote sensing data of the Earth. An assessment of the reliability of contour decoding of the species composition of stands with different spatial resolution of remote sensing data is given. The accuracy of digital vegetation models with different spatial resolution of data, the possibility of evaluating morphometric and volumetric indicators of tree crowns, as well as the resulting indicators of canopy closeness as a result of automation are indicated. An important element of the automated digitalization of wood resources is the allocation and taxation of cutting areas, the assessment of the commodity-monetary potential of stands allocated for logging.

Ecological Aspects and Methodology for Assessing the Forests of the Ural Floodplain

“…[17], Davidian, M. [18] and McCullagh, P. [19]. In accordance with the above classification [13], our proposed growth models belong to the class of linear statistical models.…”

“…The analytical review of the literature sources allowed us to note the increasing interest to the problem of modeling the growth and productivity of forest plantations due to the introduction of modern computer technologies and data analysis methods into the scientific process. According to the accepted classification and methodology of statistical modeling [13], growth models are divided into a class of linear models obtained by the least-squares method and nonlinear models obtained by the nonlinear estimation of the equation parameters. Of particular interest are statistical methods of multivariate modeling using regression analysis, including independent predictors along with numerical values of qualitative variables.…”

“…The presence of the regression lines M and OD made it possible to calculate the values of the current change in the stock of the existing stand (Figure 5, top) and the total current growth taking into account the falling off (Figure 5, bottom) and to obtain the necessary data for the development of an optimization program of thinning in accordance with the methodology proposed by V.K. Khlyustov [13]. Thus, the methodology of the step-by-step modeling of growth and productivity indicators of forest stands allowed us to digitize normative and reference materials for the whole variety of tree species and groups of forest types by forest-typological classes of average heights with a 2 m gradation in 30-year stands.…”

“…The possibility of the large-scale application of multidimensional linear growth models is shown by V.K. Khlyustov [13]. A.R.…”