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Peculiarities of Assessment of Land-Cover Dynamics at the Local Level Using Space Images (on the Test Area of the Dry Steppe Trans-Volga)

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Moscow University Soil Science Bulletin Aims and scope

Abstract

The complex structure of the lands of dry steppe Trans-Volga is represented by both natural steppe areas and fallow lands (areas of irrigated and rainfed agriculture), as well as pastures. This is often the reason for the distortion of the results of assessing the land state when using a methodology of land-degradation neutrality (LDN). The concept of LDN was proposed by the United Nations Convention to Combat Desertification (UNCCD) as an international standard to conduct comparative assessments and to analyze the dynamics of land degradation. The work considers the peculiarities of differences in the results obtained using low- and high-resolution space images. Using a ground verification of changes in the soil cover, validation of the proposed method for assessing the land-cover dynamics at the local level is carried out. The method is based on the analysis of seasonal series of Landsat images using self-organizing neural networks realized in a Scanex Image Processor program complex.

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Funding

This study was carried out within the framework of an order of a state order to the Institute of Geography, Russian Academy of Sciences, FMWS-2022-0001 “Spatial and Temporal Issues of Sustainable Land Use in the Context of Global Climate Change.”

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Authors and Affiliations

  1. Institute of Geography, Russian Academy of Sciences, 119017, Moscow, Russia

    V. D. Slavko, O. V. Andreeva & G. S. Kust

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  1. V. D. Slavko
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  2. O. V. Andreeva
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  3. G. S. Kust
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Correspondence to V. D. Slavko, O. V. Andreeva or G. S. Kust.

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This article does not contain any studies involving animals and human participants performed by any of the authors.

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The authors declare that they have no conflict of interest.

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Translated by A. Barkhash

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Slavko, V.D., Andreeva, O.V. & Kust, G.S. Peculiarities of Assessment of Land-Cover Dynamics at the Local Level Using Space Images (on the Test Area of the Dry Steppe Trans-Volga). Moscow Univ. Soil Sci. Bull. 77, 333–342 (2022). https://doi.org/10.3103/S014768742205009X

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  • DOI: https://doi.org/10.3103/S014768742205009X

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