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Title: DETECTION OF AGATE-LIKE SOIL COVER STRUCTURES USING NEURAL NETWORK FILTERING OF BIG REMOTE SENSING DATA
DETECTION OF AGATE-LIKE SOIL COVER STRUCTURES USING NEURAL NETWORK FILTERING OF BIG REMOTE SENSING DATA

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Polina Koroleva; Dmitry Rukhovich; Alexey Rukhovich; Galina Chernousenko
10.5593/sgem2024/3.1/s13.26
10.5593/sgem2024/3.1
1314-2704
978-619-7603-70-5
English
24
3.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Soils
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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This work was supported in the framework of state assignment FGUR-2022-0009
conference
https://doi.org/10.5593/sgem2024/3.1/s13.26
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 07 July, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
213-220
1 - 07 July, 2024
website
9692
digital soil mapping, remote sensing data, neural network, multi-temporal soil line, productivity of crops

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