COMPATIBILITY OF ABANDONED LAND IDENTIFICATION WITH OTHER SPATIAL DATASETS

Abstract

The article analyses the identification of abandoned land on the example of the municipality of Jonava district of the Republic of Lithuania. Spatial analysis methods were used for the study. It was found that according to the spatial dataset of abandoned land (AŽ_DR10LT), the area of abandoned land in the municipality of Jonava district is 531.8 ha, which is 0.56 % of the total area of the district (including inland waters). The consistency of the identification of abandoned land in the study area with other spatial databases showed that identical areas in terms of land use are represented differently in different databases. The most frequent discrepancies were observed when assessing the relationship between abandoned land and land use identification in the spatial dataset of control land plots (KŽS_DR5LT). Both in absolute terms and as a percentage of the area covered, abandoned land was concentrated in blocks not formally associated with cultivated land, i.e. urban, forest and mixed blocks identified as plots. The compatibility of AŽ_DR10LT with the Spatial Data Set of (Geo) Reference Base Cadastre (GRPK) is much higher. It can be seen that the identification of abandoned land has been consistent with the GRPK and that some errors are topological in nature and occur during the spatial analysis process (e.g. inclusion of very small areas of abandoned land in buffers around linear features). However, areas of abandoned land are not included at all in the areas defined in the Forest State Cadastre. This is to be expected, as the identification of abandoned land is harmonised with the information contained in the Forest State Cadastre. The presence of abandoned land in neighbourhoods whose type is difficult to link to eradication processes can be explained by the detailed compilation of the different databases or by a lack of coordination in the compilation of the databases.