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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 3, pp. 61-70

Assessment of the differentiation of agricultural technologies in three gradations taking into account global climate change

Yu.G. Zakharyan 1 , A.A. Komarov 1 , Yu.G. Yanko 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 26.05.2023
DOI: 10.21046/2070-7401-2023-20-3-61-70
Based on remote sensing of the Earth (ERS) from space and associated ground-based studies that were carried out in 2018–2022, the results of differentiation of agrotechnological solutions in three gradations are presented. The studies were carried out in different agro-climatic zones: in Leningrad Region on the ranges of precision farming; in Krasnodar Territory; as well as in the natural conditions of Northern Kazakhstan. A detailed study of the spatial and temporal heterogeneity of the state of soil cover in terms of main agrotechnological indicators was carried out on the ranges of precision farming using ground and associated remote sensing data. It is shown that the conditions of a changing climate in the space of a temporal coordinate grid can localize ongoing events (dangerous meteorological phenomena, where and when they occur), which adversely affect both agricultural productivity and the strategy of appropriate planning of agrotechnological solutions, characterized by the density distribution of agrometeorological phenomena. The parameters of agrometeorological phenomena can be interpreted as random variables subject to certain probabilistic patterns. The conducted studies and the consequences of global climate change, taking into account hazardous atmospheric phenomena in agriculture, can be assessed by comparing the laws of distribution of yields in the current and expected climate with appropriate calculations and risk analyses. We are talking about geostatistical quantities that are subject to certain geoinformation descriptions. The paper analyzes the impact of climate change on risk in the agrarian sector by means of mathematical algorithms of a geostatistical nature, in which the uncertainty associated with the productivity factor of agricultural territories is interpreted taking into account the assignment of a normal distribution of a varying agrometeorological phenomenon.
Keywords: expedient differentiation of agricultural technologies, precision farming, remote sensing of the Earth, geostatistical analysis, global climate change, land reclamation, risk, gradations
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