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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, 2025, V. 22, No. 3, pp. 136-148

Application of hyperspectral imaging from an unmanned aerial vehicle to assess weed infestation of grain crops

A.M. Shpanev 1 , A.F. Petrushin 2 
1 Agrophysical Research Institute, Saint Petersburg, Россия
2 Saint Petersburg State University, Saint Petersburg, Russia
Accepted: 17.03.2025
DOI: 10.21046/2070-7401-2025-22-3-136-148
Weed vegetation is one of the most significant factors limiting productivity potential of grain crops in the North-West Region of the Russian Federation. Modern trends in monitoring weed infestation of agrocenoses include the use of unmanned aerial vehicles and hyperspectral imaging with coordinate reference to the terrain. The study of the reflectivity of winter triticale and spring wheat crops depending on the degree of weed infestation and the level of nitrogen nutrition was carried out in 2022–2023 at the experimental base of Menkovsky Branch of Agrophysical Research Institute using hyperspectral imaging from an unmanned aerial vehicle. The experimental design included three levels of nitrogen nutrition (low, medium, high) and four degrees of crop weed infestation (zero, weak, medium, strong). According to the research results, it was determined that with an increase in crop weed infestation its reflectivity grew, especially strongly against the background of application of nitrogen fertilizers, which promoted growth of the aboveground mass of weeds. During the winter triticale booting phase, changes in the reflectivity of the crop under the influence of weeds were more pronounced than during the tillering phase of spring wheat under conditions of acute moisture deficit. Reliable differences in the reflectivity of plots with different degrees of weed infestation were recorded only in the near-infrared (NIR) range of the spectrum. Average values of the spectral reflectance coefficient (SRC) within this spectrum region increased from 0.49 to 0.76 and from 0.42 to 0.52, respectively, in winter triticale and spring wheat crops. The revealed patterns were confirmed in the form of statistically significant positive correlation coefficients between the SRC in the NIR range, the number of weeds (0.46 and 0.59) and their projective cover (0.68 and 0.63). The ranges of SRC values in the NIR spectrum for each degree of weed infestation and level of nitrogen nutrition of winter triticale and spring wheat were obtained, including for medium and high weed infestations, for which herbicide treatment is advisable.
Keywords: winter triticale, Triticosecale Wittm. Ex A. Camus, spring wheat, Triticum aestivum L., weeds, nitrogen fertilizers, unmanned aerial vehicles, hyperspectral measurements, reflectance, spectral radiance coefficient
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