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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. 6, pp. 151-162

Automatic delineation algorithm for within-field variability zones based on aerospace images and optical criteria

V.P. Yakushev 1 , A.F. Petrushin 1 , V.V. Yakushev 1 , S.Yu. Blokhina 1 , Yu.I. Blokhin 1 , D.A. Matveenko 1 , E.P. Mitrofanov 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 28.11.2022
DOI: 10.21046/2070-7401-2022-19-6-151-162
Rational application of precision agriculture technologies is impossible without a quantitative assessment of the range of within-field variability of the crop development and yield formation factors on cultivated agricultural lands. For the variable rate site-specific management of crop growing, it is very important to evaluate the degree of within-field variability of those factors. Remote sensing has been considered to be the most efficient, scalable, and cost-effective way to quantify spatial variability of crop and soil properties. The software implementation of the basic algorithm for within-field variability delineation and border marking based on aerospace images and optical criteria of crop canopy is presented. A modular control scheme for the formation of a knowledge base, a database and the process of calculating optical indices according to specified criteria and satellite images of the studied agricultural areas has been developed. The software module for creating a database is equipped with a Pascal graphical interface in the Rad Studio 11 software environment and contains various tables and references background information. Based on these data, the knowledge base has been filling with the calculated values of various optical indices characterizing the physiological state of the studied crops in various phases of their development, indicating the range of acceptable and critical values of possible stress factors.
Keywords: precision agriculture, remote sensing, optical criteria of plants, nitrogen and water deficiency, within-field variability, delineation algorithm
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