Estimation of parameters of state of crops and soil environment to remote sensing data
2020
Mikhailenko, I., Agrophysical Research Inst., St. Petersburg (Russian Federation) | Timoshin, V., Agrophysical Research Inst., St. Petersburg (Russian Federation)
An analysis of modern work in the field of the use of Earth remote sensing data in agriculture has shown that, at present, they have not yet created the information and methodological basis for estimating the parameters of the chemical state of plants and soil. Currently, sample surveys of fields with mechanical sampling at individual points at the end of the growing season are widely used. Such a survey is very time-consuming and expensive, and most importantly, does not have sufficient accuracy required to solve management problems and decision-making in precision farming. The aim of this work is to bridge this gap, which will make it possible to more fully use the modern capabilities of remote sensing of the Earth to solve many problems of agricultural technology management. Since the parameters of the chemical state of the soil are inaccessible to remote sensing, a two-stage iterative scheme for their assessment was developed. It consists in the fact that on the basis of mathematical models and current data of remote sensing of the Earth, the parameters of the crop biomass are estimated, as well as the parameters of the chemical state of the crop biomass, and estimates of the parameters of the chemical state of the soil are constructed from the estimates and the mathematical model. Moreover, the closure of this integration procedure is carried out by comparing the actual reflection parameters relative to the chemical state of the crop and their estimates obtained at the first stage of the assessment procedure.
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