Kharzinov, “The use of NDVI profiles for estimating the quality of arable lands (exemplified by the Baksan region in Kabardino-Balkaria),” Byull. Distantsionnogo Zondirovaniya Zemli Kosmosa 14 (3), 185–195 (2017). Vernyuk, and A. V. Zhogolev, “The influence of weeds on spring barley NDVI determined from MODIS satellite data,” Sovrem. Savin, “Spatial aspects of applied soil science,” Byull. Petrushin, “Quantitative assessment of intra-field variability in precision land farming,” Agrofizika, No. 1, 59–70 (2020). Kiryushin, Agronomic Soil Science (Kvadro, St. Savin, “Crop canopy heterogeneity detected based on MODIS satellite data as an indicator of contrast in soil patterns,” Russ. Godel’man, Heterogeneity of Soil Cover and Land Use (Nauka, Moscow, 1981). Testing of the developed approaches on two test fields has shown their efficiency and the possibility in the future to create a system of automated remote technology for analyzing the contrast of the fields in order to gain prompt, low-cost, and independent assessments of their quality and develop recommendations on soil management.
Based on the paired assessment of soil contrast and the length of boundaries between soils with different degrees of contrast, the contrast of the field as a whole can be estimated. We suggest using a pairwise comparison of NDVI values for the soil segments calculated from Sentinel-2 satellite data for the last six years for all available scenes with the image of crops as the criterion of contrast. We propose a new method for estimating soil contrast of arable lands, which is entirely based on the use of satellite data. The existing methods of assessment of soil contrast are based on the analysis of soil properties, classification position, or belonging to a certain agroproductive group.
One of the main indicators of heterogeneity of the soil cover of arable fields is their contrast. Knowledge about the heterogeneity of the soil cover of arable land and its impact on crop yield is of great practical importance.
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