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ISSN 1993-3916

Arid Ecosystems

The “Arid Ecosystems” journal was organized by the decision of General Biology Division of the Russian Academy of Sciences.

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Архив метки: big remote sensing data

MULTI-TEMPORAL SPECTRAL CHARACTERISTICS OF THE BARE SOIL SURFACE AND MAPPING OF THE ORGANIC MATTER CONTENT OF ARABLE HORIZONS

Arid Ecosystems

Koroleva P.V., Rukhovich D.I., Borshchev D.G., Rukhovich A.D. MULTI-TEMPORAL SPECTRAL CHARACTERISTICS OF THE BARE SOIL SURFACE AND MAPPING OF THE ORGANIC MATTER CONTENT OF ARABLE HORIZONS // Arid Ecosystems. 2025. Vol. 31. № 2 (103). P. 20-32. | PDF

A new method for compiling a map of the soil organic matter content based on multi-temporal spectral characteristics of the bare soil surface has been implemented in the South Russian province of the steppe zone of the East European Plain. The new map is based on the identified functional relationship between the soil organic matter content and multi-temporal characteristics of the bare soil surface with a determination coefficient of 0.81. The map detail is 30 m, which exceeds the accuracy of the existing agrochemical survey of arable lands in Russia. The new approach required modification of the ground agrochemical survey based on the map of the coefficient C of the multi-temporal soil line. A detailed map of the soil organic matter content helps to develop methods for mapping the structure of the soil cover in the direction of identifying intra-field heterogeneity of the soil cover for precision farming systems.

Keywords: spectral characteristics of soil, soil organic matter, soil line, big remote sensing data, neural networks, machine learning, agrochemical survey.

DOI: 10.24412/1993-3916-2025-2-20-32

EDN: EDXUDQ

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