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Methodology forautomatedclassification offarmland based onEarth remote sensingdata : научноеиздание Antamoshkin O.A.Antamoshkina O.A.Bryukhanova E.R.2022 год

Methodology for automated classification of farmland based on Earth remote sensing data : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Methodology for automated classification of farmland based on Earth remote sensing data : научное издание / O. A. Antamoshkin [и др.]. - Текст : непосредственный // IOP Conference Series: Earth and Environmental Science. - 2022. - Т.981, №3. - С. 032015. - ISSN 1755-1307. - ISSN 1755-1315, DOI 10.1088/1755-1315/981/3/032015.
Аннотация: <jats:title>Abstract</jats:title> <jats:p>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 out 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.</jats:p>
Год издания: 2022
Авторы: Antamoshkin O.A., Antamoshkina O.A., Bryukhanova E.R., Stupin A.O., Kamenskaya N.V.
Издательство: IOP Publishing
Источник: IOP Conference Series: Earth and Environmental Science
Выпуск: Т.981, №3
Номера страниц: 032015
Количество экземпляров:
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