Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 113-127
Prospects for revealing identification indicators of crop canopy based on aerospace imagery and field precision experimentation
V.P. Yakushev
1 , V.V. Yakushev
1 , S.Yu. Blokhina
1 , Yu.I. Blokhin
1 , D.A. Matveenko
1 1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 25.07.2022
DOI: 10.21046/2070-7401-2022-19-4-113-127
This paper lays out a conceptual framework for the methodological and technological infrastructure for conducting experimental studies based on remote sensing data in the crop production management. The effectiveness of the development of methods for remote diagnostics of crops depends on revealing the identifying optical indicators characterizing the physiological state of crops. A research methodology has been developed to conduct specialized field experiments with test plots where various conditions for growing crops are physically created, along with conjugated remote monitoring using multispectral and hyperspectral instruments installed on unmanned aerial vehicles. To systematize, store and provide access to heterogeneous information, the instrumental interface for the implementation of a geospatial database was developed. The results of revealing correlations between optical indices and the rate of applied nitrogen fertilizer and seeding rates are presented. The paper provides a rationale for placing wireless sensor networks on test plots for measuring soil hydrothermal characteristics and ambient environment parameters for the validation of mathematical models in the tasks of operational control and forecasting of crop growth and development.
Keywords: remote sensing, field precision experimentation, test plots, identifying optical indicators of crops, infrastructure of experimental studies
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