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DETECTION OF AGATE-LIKE SOIL COVER STRUCTURES USING NEURAL NETWORK FILTERING OF BIG REMOTE SENSING DATA
Abstract
Agate-like soil cover structures (ASCS) of leached chernozems are common in some regions of Russia with a total area of 425 242 km2 (the republics of Tatarstan and Bashkortostan, Orenburg, Samara, and Ulyanovsk regions). The term -agate-like structures- was proposed due to the fact that on remote sensing data they resemble a section of the Timan agate. The structures are formed on loamy and clayey Quaternary sediments with a thickness of 0.5-5 m, overlying Permian sediments (bedrock). It is possible to identify the location of agate-like structures within the framework of the theory of multi-temporal soil line and neural network filtering of big remote sensing data. The distribution of different crop productivity spatially coincides with the ASCS and is determined by the contrasting properties of the soil cover. The degree of influence of ASCS varies for different crops. The maximum differences in yield across ASCS fertility zones were noted for sunflower. The ratio of the yield of the low fertility zone to the high fertility zone within one agricultural field was one to five. The minimum ratio was noted for peas and was four to five. ASCS require specialized agricultural technologies within the framework of precision farming systems.
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