In Ukraine, intensive agricultural use involves a significant area of land with degraded and unproductive soils, which is economically impractical and ecologically dangerous. Part of the land was impacted by military activities. One of the tasks of sustainable development in Ukraine is to stop the process of land degradation, achieve a neutral level of land cover degradation, and promote the restoration of their productivity. This can be achieved by growing energy crops on degraded soils. Energy crops can grow on infertile soils and accumulate a significant amount of biomass, which is an important argument in favour of the development of green energy. The purpose of this study is to determine the specifics of planning work on the phytoremediation of degraded lands when using energy plants and the subsequent production of fuel pellets and briquettes. The focus is on measures to comply with the requirements for the content of pollutants in solid biofuels, which will be made from energetic plants used in the process of phytoremediation of degraded soils. The ratio of pollutant concentrations in soil and plants to their maximum permissible concentration in biofuel is proposed to be used at phytoremediation planning. This study substantiates recommendations for planning the phytoremediation of soils impacted by military activities using energy plants. These recommendations, in particular, concern: the choice of plant species; estimates of the duration of the phytoremediation process; application of precision farming methods in phytoremediation of lands; use of stochastic models of the phytoremediation process.

The purpose of the article is to consider the features of the anthropogenic impact on agricultural land in the Republic of Kazakhstan (RK). The article deals with the current problem of agricultural land degradation, and desertification in Kazakhstan, where one of the causes is the anthropogenic activities of the population and the aridity of the country's climate. Most of the territory of Kazakhstan is located in conditions highly vulnerable to anthropogenic desertification when in combination with natural factors of desertification the ecological situation is sharply deteriorating. Another cause of land degradation is urbanization and intensive degradation of desert habitats — unsystematic road network, regulation of river flows, illegal cutting of saxaul for firewood for sale. As a result of urbanization and intensive agricultural development of the foothill strip in the south and east of the country, the natural vegetation cover is highly disturbed. Roads, pipelines, and power lines, which are being laid at an increasing rate, have a great impact on the fauna. The area of land occupied by mining enterprises is steadily growing. In the last 10 years, the areas of oil and gas extraction, development of uranium ores, etc. in Western Kazakhstan, the Eastern Caspian Sea region, the Betpakdala desert, etc. have been sharply increasing. As a result of insufficiently thought-out land management from water erosion 5.6 million hectares of arable land was affected and grain yield was reduced by 20–30%. Degradation of agricultural lands, including pastures, is 30–50% and higher % in 9 of 14 regions of Kazakhstan. The use of the existing model of agricultural development of raw materials leads to inefficient economic development and constantly increasing pressure on ecosystems. The soil in Kazakhstan is very vulnerable, as it is comprehensively affected by various anthropogenic factors that lead to the constant deterioration of its quality. Soils near the Aral Sea and the Caspian Sea are subjected to the most intensive degradation, as wind erosion is widespread there.

Many studies have unveiled the importance of variation in residential property values overtime, but failed to cover different types of residential property value and location. The aim of this research is therefore to model residential property rental value in Bida from 2015 to 2020 with the aid of Geographic Information System (GIS). The study focused on the rental values of the residential property and rental value variation across space. Data collected for this paper includes residential rental values and geographic coordinates from 196 residential properties in the study area, comprising 101 one-bedroom, 80 two-bedroom and 15 three-bedroom apartments. Inverse Distance Weighted (IDW) interpolation tool of ArcGIS was employed in analysing the data. It was found out that the core areas of the town commands lower rental values while the southern part of the town commands higher rental values. It was also found out that one bedroom apartment is the most dominant residential rental property followed by the two bedroom apartments and three bedroom apartments respectively. Geospatial database was produced for each model in a bid to ascertain the level of changes with time. The benefits associated with the application of GIS technology were established by this research and recommends its application to other property values modelling.

The research is analysis of forest cadastre plots in Lithuania, which are not on forest land, but are covered with forest. The research was carried out in Dubrava regional division of the Lithuanian State Forest Enterprise. The study covers the forest districts of Ežerelis, Karmėlava, Padauguva, Sitkūnai and Vaišvydava. The main aim of the article is analysis of self-growing forest growth on non-forest land. Data from the Forest Cadastre of Lithuania (non-forest plots covered with forest) were used for the research. In this research were analysed orthophotographic maps of different periods (1995–2023), soil spatial data and other spatial data set. 135 non-forest land plots covered with forest in the Forest Cadastre, with a total area of 146 ha were found after analysing 5 forest districts. Reasons of self-growing is land abandonment, small plots sizes, less productivity of the land and lack of land reclamation.

The present spatial arrangement of rural areas in south-eastern Poland stems from socio-economic conditions that originated, for instance, at the time of annexations and Socialist rule. Adverse phenomena in the structure of rural areas, such as fragmentation of land, inhibit the development of farmsteads and lead to ineffective use of the agricultural area, increased financial expenditure and limited options for using the latest technological developments. The land consolidation procedure provides a comprehensive solution to the problem. The procedure, inscribed in the sustainable development of rural areas, aims at optimising the spatial parameters of farmsteads, creating a functional network of roads and reclaiming land, and constructing land improvement structures. Due to limited financial and human resources, consolidation projects cover relatively small areas that are disproportionate to considerable needs. Therefore, determining land consolidation urgency is essential in the context of delimiting priority areas. This paper presents a ranking for the urgency of land consolidation in the villages of the Brzyska Commune, in the district of Jasło, Sub-Carpathian Voivodeship. The villages were analysed in detail for the presence of 15 features directly affecting the spatial structure quality of the study area. The calculated values were standardised, and afterwards, using zero unitarisation, priorities were set for the analysed villages in terms of their requirement for land consolidation.

This article examines the impact of the Russian Federation’s full-scale aggression in Ukraine on the market of land surveying and topographic-geodetic services. The study found that the market for land surveying services decreased by 60–70% due to restrictions in the functioning of the land cadastral system, the introduction of the permit procedure for field geodetic works, and the adaptation of procedures for granting land to citizens during wartime conditions. Technological limitations, such as the use of GNSS networks at the beginning of the war, also played a role in the decline of the industry. The article highlights the prospective needs for land surveying work for post-war reconstruction, including accounting for war damage and mapping affected territories, spatial planning for affected communities, infrastructure restoration, and land reclamation in areas where hostilities took place. The article provides insights into the challenges and opportunities faced by the land surveying industry in Ukraine during wartime conditions and emphasizes the importance of adopting appropriate strategies for recovery and growth. It is shown that despite the war, the development of the industry depends on further digitalization, improvement of the cadastral system, gradual liberalization of access to cadastral geodata, the introduction of special rules for regulating the activities of the surveyor in the territories where hostilities were fought.

In the era of the high level of technological achievements of remote sensing of the Earth and the high level of development of web cartography, interactive web applications for the analysis of data of remote sensing of the Earth are gaining more and more popularity. Considering the large amount of space image data, and the complexity and heterogeneity of the analysis tools that need to be developed, the question arises of quickly and efficiently creating an interactive web application for the analysis of space images that will help scientists monitor and study changes in the Earth's surface and predict optimal ways of territory development with minimal expenditure of time and resources. In solving such a question, the specialized web platform Google Earth Engine (GEE) can help. The purpose of the article is to highlight the characteristics and advantages of the GEE platform by creating an interactive web application using the example of analysing changes in the NDVI index. Analysing GEE allows us to conclude that this web-platform provides a comprehensive solution for creating interactive cartographic web applications for the analysis of space images with a built-in IDE. It will help to significantly reduce development time and costs, allowing for quick and efficient analysis of Earth remote sensing data.

Aspects and factors of agricultural land transformation are analysed in the work. Taking into account the world experience of land transformation, directions for improving the development and control system of land management projects implementation in Ukraine are offered. The compliance issue by land users with established types of agricultural land according to the data of state registers is highlighted. Nowadays, land management projects that provide ecological and economic substantiation of crop rotation and land management make it possible to develop environmentally safe and economically feasible land use projects. In production, the above-mentioned projects are sometimes used to transfer ecologically stabilizing lands (pastures and hayfields) to arable land. This is controversial to all recommendations, conventions and programs that emphasize the need for reduced ploughing of the territory. It is necessary to improve the control mechanisms of crop rotation and agrotechnical environmental protection measures. The introduction of land plots agricultural passports is an important but insufficient measure. The remote sensing data of the earth and the use of modern geoinformation technologies should become part of the state control over compliance with land management projects. There is already experience of using various indices at the state level to decipher agricultural crops. As a result of the research, we came to the conclusion that the use of land remote sensing data and modern geoinformation technologies in land management will make it possible to bring the indicators of ploughed areas to a rational level, while not creating artificial restrictions on economic activity. The methodical and regulatory acts for the development of land management projects, which regulate the size of the ecologically safe land area need improvement. agricultural lands transformation, land management project,

The paper’s main objective is to analyse the distribution of large farm plots and opportunities for their optimization. In the context of intensive changes in the management and use of agricultural land, it is particularly important to optimise the land holdings of large farms. Most large farms are characterised by a fragmented, uncompacted spatial distribution. 15 large farms were selected for analysis in Jonava municipality. There are 22 separate fields on average per holding, 2/3 of the farm centres (farmsteads) are located in large settlements, and 1/3 of the farm centres are located in one-farm settlements and in small villages. It was found that the average area of individually cultivated fields is 14.9 ha, and the average distance from the farmstead to the fields is 4.35 km. Land holdings are very fragmented – fragmentation coefficient K2 value range from 2.64 to 8.81 (average 3.62) for selected farms. It is proposed to draw up municipality land use planning schemes, which would project the prospective boundaries of land holdings, and to legalize by law the right of pre-emption for the farm owner to acquire the ownership of the plots of land to be sold within these boundaries in order to increase the compactness of farm land holdings. A state can facilitate sporadic land consolidation by farmers through the preparation of the proposed municipality land use planning schemes.

The study aimed to develop a methodology for determining zones of intra-field heterogeneity for precision farming. In this study, we took into account the Belarussian national land use system which provides for the absence of private ownership of agricultural land. The spatial distribution of intra-field heterogeneity zones within the land use area of 7549.49 thousand hectares was identified using the analytical hierarchy process (AHP). The algorithm for determining zones of spatial heterogeneity provides for: (1) the selection of indicators and their ranking; (2) developing a pairwise comparison matrix, (3) estimating relative weights and (4) assessing matrix consistency. It is recommended to use data from agrochemical soil studies which are conducted centrally every 4 years for each agricultural enterprise as input parameters. These data include the humus content in the soil, the content of available phosphorus and potassium, soil pH, and the content of B, Cu, Zn, Ca, and Mg. The data should be carefully examined using spatial statistics tools to provide a more accurate delineation of the management-zones boundaries. The developed technique makes it possible to determine fertile and marginal areas within each field and differentiate the use of fertilizers, taking into account the presence of intra-field heterogeneity. This will reduce the total cost of purchasing and applying phosphorus fertilizers by 34 $·haE−1 and potash fertilizers by 9 $·haE−1 due to the redistribution of the fertilizer dose calculated for the planned yield, taking into account the identified site-specific management zones. At the same time, the level of chemical pressure per hectare of arable land will decrease by 6.7% without loss of crops productivity.