Effect of Slope Mesorelief on the Spatial Variability of Soil Properties and Vegetation Index Based on Remote Sensing Data


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详细

This article evaluates the effect of terrain morphometric parameters calculated from the digital elevation model (ASTER GDEM, 30 m) on the spatial variability of soil properties and the normalized difference vegetation index (NDVI) of a forb–oat mix. According to regression analysis, the morphometric parameters contribute 42% to the spatial variability of soil moisture; 59 and 46% to physical clay and humus content, respectively; and 86% to the NDVI of the oat-herb mixture. Indicators of moisture and physical clay and humus content in a plow layer of agro-grey soil of the transitional part of the slope are lower when compared with the alluvial part of the slope. In our opinion, this is a result of the development of erosional processes on the sloped terrain site, less favorable hydrothermal conditions, and human economic activities. The statistical relationships between soil properties and morphometric parameters of the terrain make it possible to build a predictive map of the soil properties.

作者简介

N. Gopp

Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences

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Email: gopp@issa-siberia.ru
俄罗斯联邦, Novosibirsk, 630090

T. Nechaeva

Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences

Email: gopp@issa-siberia.ru
俄罗斯联邦, Novosibirsk, 630090

O. Savenkov

Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences

Email: gopp@issa-siberia.ru
俄罗斯联邦, Novosibirsk, 630090

N. Smirnova

Institute of Soil Science and Agrochemistry, Siberian Branch, Russian Academy of Sciences

Email: gopp@issa-siberia.ru
俄罗斯联邦, Novosibirsk, 630090

V. Smirnov

Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences

Email: gopp@issa-siberia.ru
俄罗斯联邦, Novosibirsk, 630090


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