GIS technologies in identification, classification and correction of errors in the State Land Cadastre data

The reliability of the State Land Cadastre (SLC) information on the purpose and land use of land plots is a determining factor in calculating the normative monetary assessment (NMA) of the lands of territorial communities and in the completeness of land payment receipts to local budgets. The transition from the classifiers of 1998 and 2010 to the current Classifier of Types of Purpose of Land Plots has resulted in a range of plots whose codes cannot be unambiguously translated into the current system, as well as plots with missing, uncertain, or contradictory information about the land type. The paper presents a methodology for identifying, classifying, and correcting such errors using GIS services: automated recognition of correct and formally erroneous purpose codes, application of a table of hard transitions between classifiers in accordance with the Resolution of the Cabinet of Ministers of Ukraine No. 1051, as well as spatial comparison of land plot boundaries with an independent land cover classification for verification and restoration of land information; some of these tasks are fully automated, while others require additional expert processing. Based on the methodology, the number and proportion of plots for which it is impossible to calculate the NGO and plots for which the NMA was calculated automatically with a note about the need to correct the SLC information in the Velykooleksandrivska, Smilianska, Irpinska, and Hleiuvatska territorial communities were analysed. The share of plots for which the NMA cannot be calculated ranges from 0.68% to 7.66% of the total number of plots in a community (for communities where it is known), and the share of plots calculated with a note ranges from 1.26% to 57.80%, which indicates significant heterogeneity in the quality of cadastral information between communities. The results confirm the effectiveness of combining attribute and spatial analysis for mass detection and classification of SLC errors and outline the scope of work required to bring cadastral information into compliance with current legislation.