Estimation of condition of cultivated pastures under remote sensing of Earth
2019
Trukhachev, V., Stavropol State Agrarian Univ. (Russian Federation) | Oliinyk, S., Stavropol State Agrarian Univ. (Russian Federation) | Mikhailenko, I., Agrophysical Research Inst., St. Petersburg (Russian Federation) | Timoshin, V., Agrophysical Research Inst., St. Petersburg (Russian Federation) | Lesnyak, T., Stavropol State Agrarian Univ. (Russian Federation)
To maintain the quality and productivity of cultivated pastures, it is necessary to make various kinds of management decisions in a timely manner. These include alternation of pens, timing of the mowing of grass stands, application of fertilizers, etc. These decisions should be made based on reliable information about the current state of pastures, which should be assessed according to information from automated monitoring systems. Considering the large areas, to generate reliable information on the state of pastures, it is extremely important to use for these purposes means of remote sensing of the Earth (RSD) of various basing (satellite, aviation, surface). This paper presents a methodology for estimating the state parameters of pasture grass stands based on the integration of remote sensing data and ground-based measurements on test plots. Such integration is implemented in the optimal filtering algorithm, built based on mathematical models of the dynamics of the parameters of the state of herbage and optical measurements of remote sensing. To identify and quickly adapt the models, samples of plants and soil are taken from the test pasture sites. To estimate the spatial in homogeneity of the state parameters of the grass stands, the models were transformed for two-dimensional state variables and methods for obtaining estimates of grazing land were shown. For the development of spatial distribution of estimates, mathematical models were added with bidimensional variable numbers. Different approaches were suggested for their evaluations according to the images of electronic remote sensing. The results of evaluation can be used for making managing solutions, which are directed to keep the quality and the productivity of the pasture plant formation.
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