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

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 regio...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-02, Vol.981 (3), p.32015
Main Authors: Antamoshkin, O A, Antamoshkina, O A, Bryukhanova, E R, Stupin, A O, Kamenskaya, N V
Format: Article
Language:English
Subjects:
Agricultural land
Agricultural resources
Cartographic databases
Classification
Earth
Geographic information systems
Growing season
Remote sensing
Satellite imagery
Satellites
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Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/981/3/032015