Výsledky vyhledávání - "I A Sahabiev"

Akademický článek

Digital mapping of indicators that determine the sorption properties of soils in relation to pollutants, according to remote sensing data of the Earth using machine learning

Autor: K. G. Giniyatullin, I. A. Sahabiev, E. V. Smirnova, I. A. Urazmetov, R. V. Okunev, K. A. Gordeeva

Publikováno v: Georesursy, Vol 24, Iss 1, Pp 84-92 (2024)

According to the data of remote sensing of the Earth, the accuracy of the spatial prediction of soil indicators determining sorption properties in relation to pollutants was compared. To build spatial maps of changes in soil properties, machine learn

Externí odkaz: https://doaj.org/article/30f98aed5b574f4c9eca2707c7e7466c

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Patterns of differentiation of the old arable horizon of fallow soils according to the content of mobile forms of manganese and copper

Autor: К G Giniyatullin, R V Okunev, E V Smirnova, I A Sahabiev, L I Latipova

Publikováno v: IOP Conference Series: Earth and Environmental Science. 1045:012059

The differentiation of the old arable horizon (Ap old) by the content of mobile manganese (Mn) and copper (Cu) under fallow vegetation aged 15-20 years was studied. The accumulation of mobile Mn in the upper layer (0-10 cm), Cu in the 5-15 cm layer w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4131ecc31d77cd3bdd37abe67cbbbc4d
https://doi.org/10.1088/1755-1315/1045/1/012059

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Selection of a Geostatistical Method to Interpolate Soil Properties of the State Crop Testing Fields using Attributes of a Digital Terrain Model

Autor: S. S. Ryazanov, T. G. Kolcova, I. A. Sahabiev, B. R. Grigoryan

Publikováno v: Eurasian Soil Science. 51:255-267

The three most common techniques to interpolate soil properties at a field scale—ordinary kriging (OK), regression kriging with multiple linear regression drift model (RK + MLR), and regression kriging with principal component regression drift mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::696124227208e59f0b7a92655b33dbf5
https://doi.org/10.1134/s1064229318030122

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Akademický článek

Digital soil mapping as a basis for climatically oriented agriculture a thematic on the territory of the national crop testing fields of the Republic of Tatarstan, Russia.

Autor: I A Sahabiev, K G Giniyatullin, S S Ryazanov

Publikováno v: IOP Conference Series: Earth & Environmental Science; Feb2018, Vol. 107 Issue 1, p1-1, 1p

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