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).

Cadastral measurement provides cadastral data of a parcel determining its boundaries. In theory, based on the legislative regulations, the boundaries of adjacent parcels should not cross the boundaries of parcels, therefore an overlap of parcels is not possible. Yet the question arises if this requirement is met. The study has been conducted to examine the assumption regarding the possible overlap of adjacent parcels when the parcels abut a road. The study object consists of 24 parcels randomly selected from Kėdainiai district municipality, Lithuania which abut the following roads of national significance: road No. 144 (Jonava – Kėdainiai – Šeduva) and road No. 195 (Kėdainiai – Krekenava – Panevėžys) as well as regional road No. 2007 (Akademija – Šlapberžė – Berželė). The cadastral measurements of the selected roads were carried out in the period of 2013–2014. During the study, the analysis of the conditions of overlapping of boundaries and the areas of the overlap have been carried out. The results of the study indicate that the boundary accuracy of parcels is inaccurate in relation to road boundaries.

In Ukraine, degradation of land resources is a complex ecological problem, preventing sustainable development of land employment. Land protection from degradation requires development of measures in the process of land management at regional and local levels. Efficiency of the measures depends considerably on reliable information about quantitative and qualitative conditions of lands, due to the fact that it forces timeliness of the research. The aim of the research is to study problems of land degradation in terms of land management while developing measures of land resource protection. To reach this aim, the following tasks were set out: to analyse the drawbacks of informational support in terms of land management fulfilment at the current stage of land relations development; to describe prospective ways to implement the measures on land protection from degradation in Ukraine. Methodological basis of the research is includes the method of system analysis (performed while studying the process of land resource degradation) and cartographic method (employed while detecting the spread of degradation processes and its drawbacks in land employment). The research has determined that soil maps and plans of employment of lands do not provide reliable information about quantitative and quantitative conditions of land resources. The existing organisation of land use, first arable one, does not always correspond to soil-conserving requirements. It is proposed: to update plan-cartographic material based on space images and data of agrochemical classification of agricultural lands; to establish efficient organisational and economic mechanisms to implement ecological policy in the field of land management.

The article shows results of compiling recommendation land use maps for land use and land resources management of the university experimental farm “Velykosnitynske”. Large-scale GIS mapping of experimental farms allows to improve land use and decision making, prepare recommendations to solve land management issues, planning of technology processes and efficient crop growing technology. Compiled recommendation maps are aimed to assist in rational land use planning and sustainable development of the territory.

Land cover objects are reflected in a set of georeferential data and are constantly changing. These changes can be accurately examined by computer and interactive information systems. One of the main advantages of computer information systems is the fact that their maps can be constantly improved and updated. The update of georeferential data was conducted in a selected area using the ArcGIS software. After the analysis of the Lithuanian land cover data, the area meeting the following criteria was selected: a diverse landscape, the abundance of different objects (built-up areas, forests, bodies of water), an adjacent city and good access to major metropolitan areas. The article presents the updated georeferential data and tracks changes in the updated data of built-up areas, areas overgrown with trees and shrubs, dams, swimming pools, lakes, ponds and roads in the selected area within the period from 2008 to 2015. The results revealed that changes occurred in all analysed layers. It proves that land cover objects are constantly changing. The greatest change was observed in the data of built-up areas. In comparison with 2008, in 2015 even 41% of built-up areas was changed (i.e. the old boundaries were revised, new and defunct built-up areas were discovered), 125 new areas have overgrown with trees and bushes and 46 changes were observed in ponds and pools.

In order to preserve protected areas and to reduce their devastation, it is important to know the most common violations of these areas. The created map will provide the information about areas where the damage occurs most often. The Nemunas Loops Regional Park was selected for the research, the main aim of which was to identify the most common violations and the most problematic areas. The objectives of this research were to carry out a detailed analysis of violations in the Nemunas Loops Regional Park and protected areas for 2007- 2014 period of time and to create a dot distribution map of these violations. The main tasks were the following: 1) to review the aim of the Nemunas Loops Regional Park establishment, prohibited and promotional activities, 2) to carry out the classification of violations in these areas during 2007-2013 according to the Code of Administrative Offences of the Republic of Lithuania, 3) to group the violations of 2007-2013 according to the timing and to create a dot distribution map in order to provide its application possibilities. The study led to the following conclusions: most violations were made contrary to the requirements of the protected areas (Clause 76). For instance, arbitrary constructed mobile homes, environmental pollution, violations of visiting regime in the nature reservation, water protection requirements (Clause 55), parking a car in the protected area of the water reservoir, agricultural land, storing agricultural equipment which is not used etc. The map highlights the most problematic areas where violations occur every year. These are: Punios Šilas Strict Nature Reserve and the areas around it, Pociūnai and Balbieriškis towns, Birštonas. In 2014 the form of reports was changed and it was not possible to analyse the violations in detail. It was a negative factor for this research because no accurate violations and areas could be recorded. For this reason the map was not created. 230 various violations happened in the Nemunas Loops Regional Park during the period of 2007-2014. The created map can be used as an additional measure for prevention of violations.

Ukraine is one of the countries where the problem of waste management is particularly acute and deteriorating every year. The Regional Waste Management Plan in Volyn region by 2030 envisages a reduction in the total amount of landfilled waste from 97.68% to 30%, and the number of sites for their disposal – up to 4–8 regional landfills per region. Ecological-economic mechanism of solid non-hazardous waste (SNHW) management is based on a harmonious combination of environmental constraints with the economic attractiveness of regional landfills and involves working with geographically defined objects based on the use of methods of processing geospatial information, one of which is mathematical-cartographic modelling. Thus, the main purpose of this work is to substantiate the possibilities of applying the method of mathematical-cartographic modelling in the design of the system of regional landfills of SNHW in the Volyn region. In order to address the issue of placement of SNHW management facilities, the territory of the region is divided into four management clusters. The division of the territory took into account the composition, properties, methods of solid waste collection, logistics, load on waste processing complexes, volumes of waste generated, spatial planning, etc. Three probable options for the location of regional landfills have been developed for the Lutsk SNHW cluster. The results of the study can be used in the development and adjustment of regional plans, waste management programs, as well as in the work of the executive bodies of the united territorial communities.

The article shows that the rapid technological changes in the field of topographic, geodetic and cadastral activities that have occurred in recent decades, significantly affect the nature and content of work to be performed by future engineers in the field of geodesy and land surveying. The directions of adaptation of the content of geodetic and land surveying education to the needs of the national and world market of engineering services are considered. Global navigation satellite system (GNSS), laser 3D-scanning and operational mapping using unmanned aerial vehicles will have a decisive impact on the development of the industry in the near future. Paper maps are being replaced by multimedia devices that display dynamic map content tailored to a specific consumer. During the study, the student must get acquainted with all the most advanced technologies that will determine the future of the industry in the medium term to be ready for their practical application. A modern university lecture should be designed so that the student can hear only what he or she cannot find on the Internet. The aim of the article is to try to comprehensively generalize and analyse global trends and prospects for the development of topographic and geodetic, cadastral, registration and evaluation activities, as well as to determine on this basis the adaptation of geodetic and land management education to the needs of national and global engineering services.

The main objective of this study is to review and evaluate three common interpolation methods namely: Inverse Distance Weighting (IDW), Radial Basis Function (RBF) and Ordinary Kriging (OK), and generate maps of soil pH using these methods. The accuracy and efficiency of the generated maps have been examined as well as the most fitting technique for estimating spatial distribution of soil pH in the study area is identified. Studies were conducted within the limits of land use of RUP “Uchkhoz BGSHA” (Republic of Belarus, Mogilev region, Goretsky district). The total area of the surveyed territory is 3197.89 hectares. For the analysis data is used about pHKCl of soil solution obtained from materials of an agrochemical survey executed in 2014. Forecasting and visualization of the spatial distribution of pH sub(KCl) was carried out using the Geostatistical Analyst module of the ArcGIS software. The experimental anisotropic variograms were calculated to determine the possible spatial structure of soil pH. Based on cross-validation results, a polynomial function was identified as the best variogram model. The model created by the method of radial basis functions turned out to be the most suitable for forecasting purposes (the value of the root-mean-square error was 0.763). In terms of interpolation accuracy, the investigated deterministic and geostatistical methods are located in the next descending row: RBF greater than IDW greater than OK.

The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making. Decision-making performance is determined by the availability of the relevant data and the user’s ability to adapt that data for analytical purposes. The popularity of spatial statistical tools is on the rise owing to the complexity of the analysed factors, their variation over time and their correlations with the spatial structure. Popular models should be applied in demographic analyses for the needs of the spatial planning process. The availability of high-resolution data and accurate analytical tools enhances the value of spatial analyses, and the described models can be universally applied to support the decision-making process. The aim of this study was to present the applicability of selected spatial statistical models for analysing demographic data in the planning process and to identify the main advantages of these models.