Siberian Federal University

Issue

Journal of Siberian Federal University. Engineering & Technologies. 2021 14 (3)

Authors

Erunova, Marina G.; Pisman, Tamara I.; Shevyrnogov, Anatoliy P.

Contact information

Erunova, Marina G.: Federal Research Center «Krasnoyarsk Science Center of SB RAS» Krasnoyarsk, Russian Federation; ; Pisman, Tamara I.: Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation; Shevyrnogov, Anatoliy P.: Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation

Keywords

VARI; PlanetScope; algorithm; wheat; crops weediness; VARI; PlanetScope

Abstract

The aim of the work is to develop techniques for detecting weediness in agricultural crops based on the use of the VARI vegetation index, calculated from the PlanetScope satellite data. The territories of the Krasnoyarsk Agricultural Research Institute of the Federal Research Center of the Krasnoyarsk Science Center of SB RAS near the village Minino (Central Siberia, Krasnoyarsk Region) were used as the object of the research. To calculate the vegetation index VARI of grain crops, the algorithm for receiving and processing PlanetScope satellite data was developed. On its basis, a map of the spatial distribution of the VARI index for wheat crops with various degrees of weediness was made. According to the satellite data of PlanetScope (VARI), possibility to interpret the areas of wheat sowing with a high and low degree of weediness during the growing season is shown. It was revealed that the VARI value of wheat crops with a low degree of infestation is greater than the VARI value of wheat crops with a high degree of infestation

Pages

347–353

DOI

10.17516/1999-494X-0314

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/141284

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).