Determination of natural connections of taxation parameters using remote sensing data on the example of pine stands in the Novgorod region

The article deals with the problem of updating forest inventory data, since currently most of them contain data obtained 10 or more years ago. The situation is also aggravated by poor transport accessibility of forests, which complicates the implementation of forest inventory using classical methods. The author proposes a technology for obtaining main taxation parameters (average heights, diameters and stocks of stands) in a combined way using remote sensing materials and well-established relationships between the quantity of trees and the desired parameters, which were derived by scientists into allometric equations at the beginning of the last century. The initial Earth remote sensing data were obtained from an aircraft-type unmanned aerial vehicle. Due to this, ultra-high-quality orthophotoplans (less than 5 cm/pixel) were obtained as a result of processing the survey data, which is an important factor for improving the accuracy of trees number determining. In this paper, we use a technique for automated counting of the trees number, developed in a mathematical modeling environment, which is currently being tested. In order to identify the regular relationships between the main parameters of stands, the Reinecke, Yoda and Hilmi rules were tested, which previously showed a relatively high degree of accuracy in determining the taxation parameters in the works of scientists. According to the results of calculations carried out in pine stands, the data on the growing stock and average diameter turned out to be within the margin of error. The data obtained on the height of the trees had a bigger deviation, which can be offset by introducing an additional coefficient, since the errors were equal when calculating several studied areas. The paper presents coefficients, the use of which in the equations of regular relationships allows to obtain taxation parameters by remote method. Based on the results of the work, it can be concluded that the further development of remote sensing technologies, the subsequent study of the natural relationships between the main taxation parameters of trees and an increase in the sampling of studies will allow the development of forest inventory methods that will help reduce costs and deadlines for updating the Russian forest fund.