A detailed mapping of soil organic matter content in arable land based on the multitemporal soil line coefficients and neural network filtering of big remote sensing data

Author:

Rukhovich Dmitry,Koroleva Polina,Rukhovich AlexeyORCID,Komissarov MikhailORCID

Publisher

Elsevier BV

Reference163 articles.

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3. Afonin, A.N., Green, S.L., Dzyubenko, N.I., Frolov, A.N., 2008. Agroecological atlas of Russia and neighboring countries: economically important plants, their pests, diseases and weeds. https://www.agroatlas.ru (accessed 04 March 2024).

4. Agrochemical service of Russia, 2023. https://ahsr.ru (accessed 04 March 2024). (in Russian).

5. Evaluation of Landsat TM5 multispectral data for automated mapping of surface soil texture and organic matter in GIS;Ahmed;Eur. J. Remote Sens.,2014

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