Аннотация:The complex structure of the lands of dry steppe Trans-Volga is represented by both natural steppeareas 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 estimating 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 estimations and to analyze thedynamics 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 estimating the land-cover dynamics at the local level is carried out. The method isbased on the analysis of seasonal series of Landsat images using self-organizing neural networks realized in a Scanex Image Processor program complexDOI: 10.3103/S014768742205009X
