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Title: ON THE POSSIBILITY OF CORRECTING LARGE-SCALE SOIL MAPS USING CARTOGRAPHIC MATERIALS OF PRECISION FARMING SYSTEMS OBTAINED BY ANALYSIS OF LARGE SATELLITE DATA
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ON THE POSSIBILITY OF CORRECTING LARGE-SCALE SOIL MAPS USING CARTOGRAPHIC MATERIALS OF PRECISION FARMING SYSTEMS OBTAINED BY ANALYSIS OF LARGE SATELLITE DATA
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1314-2704
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English
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20
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2.2
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A comparative analysis of large-scale soil maps and cartographic materials of precision farming systems is carried out. Soil maps are created by traditional methods based on ground-based surveys, desk-based decryption of topographic maps and remote sensing materials. Cartographic materials of precision farming systems are represented by maps of stable intra-field heterogeneity of soil fertility. Maps of stable intra-field heterogeneity are based on the analysis of big satellite data for 35 years. Comparison showed that on traditional soil maps at least half of the soil contours were missing, where there is a decreased soil fertility. In areal terms, the values are similar. Since it is extremely important for precision farming systems to correctly display areas of reduced fertility, traditional soil maps need to be corrected. Correction of soil maps to the details of precision farming systems is possible based on the analysis of big satellite data. High informativeness for the correction of soil maps show maps of stable intra-field heterogeneity of soil fertility.
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conference
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20th International Multidisciplinary Scientific GeoConference SGEM 2020
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20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
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421-428
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18 - 24 August, 2020
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website
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cdrom
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7089
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soil maps; precision farming; big remote sensing data; stable intra-field heterogeneity of soil fertility
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