Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 150-160
Possibilities of experimental field soil cover recognition using ground and satellite data
A.P. Shevyrnogov
1 , I.Yu. Botvich
1 , D.V. Emelyanov
1 , A.A. Larko
1 , G.S. Vysotskaya
1 , V.K. Ivchenko
2 , T.N. Demyanenko
2 1 Institute of Biophysics SB RAS, Krasnoyarsk, Russia
2 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
Accepted: 29.03.2019
DOI: 10.21046/2070-7401-2019-16-4-150-160
The paper presents the results of a study showing the possibility of recognition of soil cover with different types of soil and soil cultivation techniques by remote sensing methods. Satellite (Sentinel-2) and terrestrial (SpectralEvolutionPSR-1100F) optical data of various spatial and spectral resolution were used. The data with a high heterogeneity of experimental plots were obtained in the Minderlinskoe experimental farm, Sukhobuzimsky district of the Krasnoyarsk Kray. It is established that measurements of spectral brightness coefficient (SBC) with high spectral resolution can be used to evaluate soil cultivation techniques and, in some cases, to identify soil types. The presence of stubble on soil surface has a significant impact on the process of soil types identification. The biggest difference in soil species diversity can be established in the absence of stubble. Using remote sensing for determination of the “hydrometamorphized clay-illuvial agricultural chernozem” soil type with “plowing” processing is demonstrated. It is shown that data from channels 2, 3, 4, and 8 of Sentinel-2 and their spatial variability can be directly used to assess the types of soil treatment and agrophysical characteristics at the initial stage of the vegetation period (open surface).
Keywords: satellite and terrestrial research methods, agricultural land, Sentinel-2, soil
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