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Results of assessment of condition (overgrowth of woody and shrubby vegetation), for example, of former agricultural land, taken out of agriculture, in western area of the European part of the Russian Federation (Bryansk region) using algorithms for automated detection of changes in multi-time multi-zone space images are presented. To perform the work, data from TM radiometers (Landsat 5) were selected from available data for study area, and two images of different times (2011 and 2018) were formed. Automated processing included following stages: preliminary processing of satellite images; determination of difference vegetation index (NDVI) based on index images assessment of changes in multi-time images by principal component method (РСА) based on formation of more informative combinations of source images obtained in different spectral zones and reduction of set of analyzed data; identification of changes by difference method based on difference in brightness of each pixel of first image and brightness of corresponding pixel of second image combined with first. Evaluation of use of algorithms for automated detection of changes in multi-time satellite images has shown that joint image processing makes it much better to assess the processes of changes that have occurred on former agricultural land, derived from agricultural turnover.
Perevolotskaya et al. (Wed,) studied this question.
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