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Methodology for automated classification of farmland based on Earth remote sensing data

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: IOP Publishing Ltd; 18 November 2021 through 20 November 2021; 18 November 2021 through 20 November 2021

Год издания: 2022

Идентификатор DOI: 10.1088/1755-1315/981/3/032015

Аннотация: The analysis of spectral characteristics from satellite images of the earth for different periods of the growing season is carried out. Using a geographic information system, a training sample was obtained for identifying agricultural land based on satellite monitoring data for the Krasnoyarsk region. The classification is carried Показать полностьюout on the basis of spectral characteristics of agricultural land according to the data of remote sensing of the earth. Field studies were carried out to verify the classification results. Based on the results of the work, modules of a geographic information system were created, containing a cartographic database of agricultural land in the Sukhobuzimsky district of the Krasnoyarsk Territory. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 981, Is. 3

Номера страниц: 32015

ISSN журнала: 00177474

Издатель: Siberian Scientific Centre DNIT;The Krasnoyarsk Research Institute of Agriculture of the Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences"

Персоны

  • Antamoshkin O.A. (Federal State Budgetary Educational Institution of Higher Education, Krasnoyarsk State Agrarian University, 90, Mira Av., Krasnoyarsk, 660049, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Ave, Krasnoyarsk, 660037, Russian Federation)
  • Antamoshkina O.A. (Federal State Budgetary Educational Institution of Higher Education, Krasnoyarsk State Agrarian University, 90, Mira Av., Krasnoyarsk, 660049, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Bryukhanova E.R. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Ave, Krasnoyarsk, 660037, Russian Federation)
  • Stupin A.O. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Ave, Krasnoyarsk, 660037, Russian Federation)
  • Kamenskaya N.V. (Federal State Budgetary Educational Institution of Higher Education, Krasnoyarsk State Agrarian University, 90, Mira Av., Krasnoyarsk, 660049, Russian Federation)

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