Indicative capacity of NDVI in predictive mapping of the properties of plow horizons of soils on slopes in the south of Western Siberia


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Abstract

The informativeness of NDVI for predictive mapping of the physical and chemical properties of plow horizons of soils on different slope positions within the first (280–310 m a.s.l.) and second (240–280 m a.s.l.) altitudinal steps has been examined. This index is uninformative for mapping soil properties in small hollows, whose factual width is less than the Landsat image resolution (30 m). In regression models, NDVI index explains 52% of variance in the content of humus; 35 and 24% of variance in the contents of total and nitrate nitrogen; 19 and 29% of variance in the contents of total and available phosphorus; 25 and 50% of variance in the contents of exchangeable calcium and manganese; and 30 and 29% of variance in the contents of fine silt and soil water, respectively. On the basis of the models obtained, prognostic maps of the soil properties have been developed. Spatial distribution patterns of NDVI calculated from Landsat 8 images (30-m resolution) serve as the cartographic base and the main indicator of the soil properties. The NDVI values and the contents of humus, physical clay (<0.01 mm) and fine silt particles, total and nitrate nitrogen, total phosphorus, and exchangeable calcium and manganese in the soils of the first altitudinal step are higher than those in the soils of the second altitudinal step. An opposite tendency has been found for the available phosphorus content: in the soils of the second altitudinal step and the hollow, its content is higher than that in the soils of the first altitudinal step by 1.8 and 2.4 times, respectively. Differences in the pH of soil water suspensions, easily available phosphorus, and clay in the soils of the compared topographic positions (first and second altitudinal steps and the hollow) are statistically unreliable.

About the authors

N. V. Gopp

Institute of Soil Science and Agricultural Chemistry

Author for correspondence.
Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

T. V. Nechaeva

Institute of Soil Science and Agricultural Chemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

O. A. Savenkov

Institute of Soil Science and Agricultural Chemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

N. V. Smirnova

Institute of Soil Science and Agricultural Chemistry

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 8/2, Novosibirsk, 630090

V. V. Smirnov

Institute of Computational Technologies

Email: natalia.gopp@gmail.com
Russian Federation, prosp. Akad. Lavrent’eva 6, Novosibirsk, 630090


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