ASSESSMENT OF THE BIOMASS OF SPRING WHEAT SOWING

Abstract

The use of Earth remote sensing data (ERS) is a key information technology in modern crop production, as it allows you to assess the parameters of the state of crops of crops, the number of which can reach up to ten. Based on such assessments, managerial decisions are made aimed at obtaining specified final results. It is impossible to assess these parameters by the currently widely used vegetation indices, due to their scalar shape and dimensionless size. The paper develops a classical approach to the problem of assessing the parameters of the state of crops of crops, in which remote sensing data are considered as an indirect measurement of the estimated parameters. The difference of this article from previous works of a similar orientation is that crops with a more complex morphological structure are considered as an object of evaluation, which inevitably leads to a complication of the estimation algorithm. In addition, such an important feature of agricultural objects as their spatial distribution is considered here. To take it into account, a new kind of mathematical models is used in which spatial coordinates are introduced. Due to the significant complication of modeling and estimation algorithms based on such models, approximation schemes that are simpler in terms of software implementation are proposed. The basis of such schemes is the basic estimation algorithms, by which first estimates are formed for 20-30 elementary sowing areas, using which spatial variations of the estimates and reflection parameters are used on the used channels of the remote sensing system, and then linear spatial corrector parameters are constructed from these variations.