ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 4, pp. 102-114

Estimation of the parameters of agrocenosis state from Earth remote sensing data

I.M. Mikhailenko 1 , V.N. Timoshin 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 22.06.2021
DOI: 10.21046/2070-7401-2021-18-4-102-114
The purpose of this work is to substantiate the method and means of forming estimates of quantitative parameters of the state of agrocenoses, which include the main crop and weeds. These quantitative parameters include biomass parameters, the estimates of which can be used in the future to solve the problems of agricultural technology management. The system-wide task is to overcome the limitations of the concept of assessing the state of vegetation based on the use of various types of vegetation and other kinds of indices and criteria. This approach does not use the great capabilities of modern means of remote sensing of the Earth, and the generated indices are dimensionless scalar quantities and cannot in any way be used to solve problems of managing agricultural technologies. To achieve this goal, the method of integrating ground-based measurements and remote sensing data is used, taking into account differences in the physical dimension of information and in its spatial distribution. This is achieved by the combined use of a mathematical model of the dynamics of the parameters of the state of the biomass of the agrocenoses and the Earth remote sensing model. In this case, the main feature of the used mathematical models is the presence of spatial coordinates in them. To simplify modeling, the field-average estimates of the parameters of the agrocenoses state are corrected for elementary areas of the field by means of a trained linear corrector and local variations of remote sensing data. Ensuring sufficient accuracy and reliability of the assessment procedure is solved by special use of various sources of information. So, ground measurements, including data from stationary remote sensing devices, are used to identify and adapt mathematical models, and mobile remote sensing devices are used to estimate the parameters of the biomass of the agrocenoses over the entire area of the field. Research has been carried out over the past 10 years on the experimental fields of the Menkovo branch of the Agrophysical Research Institute.
Keywords: agrocenoses, remote sensing, mathematical models, estimation algorithm, test sites
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