Qualitative land accounting plays an important role in the efficient use of agricultural land, the targeted placement of crops and the imposition of taxes on land users. Today, the quality of irrigated agricultural land shows the use of traditional methods in determining, assessing and mapping is inefficient in terms of time and cost. This, in turn, increases the need for fast, resource-efficient and science-based methods of modern geographic information system (GIS) technologies to address these issues. This article describes the results of scientific research on the compilation of histogram maps of soil quality indicators and geostatistical analysis using GIS technologies to determine the quality of irrigated agricultural lands. Hereby, the quality of soils was mapped in an automated system using the method of quality colors, the results of geostatistical analysis were converted into cartographic data and a new scale of values was developed. Geostatic analysis was performed in ArcGIS based on agrochemical cartogram data of land contours.

This article deals with engineering (strategic site construction, buildings and structures, material cultural heritage sites), project (underground and overhead pipelines, railways, roads, power lines, fields and minerals, irrigation networks, hydraulic structures). Improved interpolation techniques for determining the most commonly used measuring heights in the process of land surveying, solving engineering problems on topographic maps and surveying land cadastral works (agriculture, fisheries) and the state cadaster illuminated. In addition, design of linear, dotted and field-themed objects, the study of absolute heights for volume measurements, the analysis of survey results in software for the geo-information system, the mapping of Earth’s dimensions, the determination of unknown altitude and land grinding. Optimized using an improved formula for implementation. In addition, there is a section with a relief section height within each relief interval, and traditional methods used to determine intermediate values have caused discomfort to specialists or users of this formula. In this paper, it is widely used that the formula developed can be used to develop a high-precision study of the absolute value of an unknown height and to develop a sequence algorithm for the implementation of modulation systems in the geo-information system family software.

Software of Geographic Information Systems (GIS) has been widely used for land evaluation and detection of changes in land area. Using GIS it is possible now to combine different environmental, social, economic data, which in turn leads to lower costs and allows collecting and processing a variety of data with the exact calculation of the required results necessary for land use. Therefore, research has been focused on remotely controlled devices. The research has been conducted to simplify the land record keeping (land inventory) system and to improve land monitoring methods using remote-controlled devices. As a result, economic efficiency and productivity have been increased.

Agriculture is one of climate change's most sensitive economic sectors. In Uzbekistan, 95% of agricultural products come from irrigated lands. Because the agricultural sector of Uzbekistan meets the population's demand for food and industrial raw materials, ensuring national food security. Different climatic and soil-hydrogeological variations are countrywide significant to assess the possible increase in crop water demand and to determine the water consumption and irrigation regime in the irrigated lands. Therefore, this research aimed to create the hydrological module-zoning (HMZ) map of irrigated lands using geoinformation systems (GIS) technologies by employing spatial soil-hydrogeological data and determining water consumption and irrigation regimes for cotton according to FAO methodology. The area of investigation was the irrigated agricultural lands of the northern regions of the Republic of Karakalpakstan, located in Uzbekistan, which has undergone significant climate change over the last 30 years due to the Aral Sea tragedy and is faced with water scarcity. HMZ map of the study area has been figured out by ArcGIS 10.8 program based on Bespalov's methodology. Determining water demand of cotton developed by developed HMZs based on the CropWat 8.0 program using meteorological parameters. The study showed that identified areas of HMZ and the irrigation regime for cotton by Bespolov in the 80s of the last century have significantly changed because of climate change.

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