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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, 2022, Vol. 19, No. 1, pp. 287-294

Current problems and prospects for the use of remote sensing of the Earth in agriculture

V.P. Yakushev 1 , Yu.G. Zakharyan 1 , S.Yu. Blokhina 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 18.02.2022
DOI: 10.21046/2070-7401-2022-19-1-287-294
The report summarizes the results of the Third All-Russia Scientific Conference with International Participation “The Use of Remote Sensing of the Earth in Agriculture” held at the Agrophysical Research Institute in Saint Petersburg, Russia, on September 16–17, 2021. The conference was attended by 167 researchers and specialists from 43 organizations from Moscow, Saint Petersburg, Khabarovsk, Volgograd, Krasnodar, Simferopol and other cities of Russia and Belarus, Kazakhstan and Moldova, actively involved with the development of technologies and methods of remote sensing of the Earth for application in agriculture. There was a constructive exchange of views and research results among the conference participants regarding the application of methods and technological services for information support of agriculture, farming system management, diagnostics of agrocenosis, phytosanitary monitoring and security of agroecosystems, carbon sequestration by tree and shrub vegetation, crop yields evaluation. Advanced approaches, neural network models and hardware-software tools designed to improve technologies for satellite data collection, processing and interpretation were discussed. To identify the criteria and identification indicators of crop condition the role of specialized field experiments with conjugate ground-based and remote sensing studies was considered.
Keywords: All-Russia Conference, remote sensing of the Earth, information services, agroecosystem monitoring, precision agriculture, test polygons, optical identification indicators
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