The problem of abandoned agricultural land is relevant in Lithuania, particularly in the territories where poor soils are dominant. The aim of this research is to analyze the statistics of abandoned land in poor soil regions by different estimation methods. The abandoned land was registered for the purposes of the research. Areas might be determined by using statistical data and by applying the results of a distant research method. The initially obtained data showed large differences among the areas of abandoned land determined by different calculation methods, and this might cause a lot of problems, in particular when clarifying the validity of the land taxation. Therefore the initial data of the research concerning abandoned land should be essentially revised. The results of abandoned land accounting and evaluation (inventory) in each territory should be checked and confirmed by the committee of qualified specialists. The reasons of abandonment should be determined for each land plot, and further use of the plot should be determined. Plots of abandoned agricultural land should be estimated for each parcel of the private land and registered in the cadastre data as additional information for estimation of the land tax.

The aim of the research was to identify the change of abandoned lands in Ūdrija cadastral area of Alytus district. This particular area was selected due to the diversity of land cover objects and because of a good agrarian condition. According to the data of 2010, the cadastral area of Ūdrija had 176 plots of abandoned land with the total area of 61.41 ha. After the verification 179 plots of a land were found, with the total area of 62.84 ha. It can be said that there is a minor increasing tendency of abandoned lands. During field verification as many as 41 mismatches were identified. The mismatch of the data was influenced by two main factors: a two year period between the information of the data set and field verification, as well as errors of the data set. To sum up, the information of verification has changed slightly. It happened because some mismatches were positive (identified new areas of abandoned land), while others were negative (plots of land which were in a set of data were denied during the verification).