Spatial data is constantly evolving, and the accuracy of spatial data is constantly changing. The latest GRPK and orthophotographic map were used in the study. Accuracy is also affected by technological advances, which are driven by improvements in working methods, which include the development of work tools and the development of data sets that contain structured data. The data contained in the data sets are determined by a variety of methods, such as field measurements (GPNS receiver or tacheometer) and analysis of digital photographic images, which are determined using aircraft or satellite systems. The determined data is processed with the help of specialized software, which is selected depending on its functionality and capabilities, and with the help of which the determined data is processed as accurately as possible. Accurate spatial data in densely populated areas makes it easier to carry out planning and design work correctly. The study is performed to determine the accuracy of the coordinates of the selected structures using remote methods. The more similar studies are conducted, the more confident the GRPK data generated remotely will be of the required accuracy, reliability, and applicability to planning, forecasting, and other important tasks. The article compares geodetic measurements and GRPK data and geodetic measurements and ORT10LT data, identifies coordinate differences, the size of the discrepancy and its average, and calculates the root mean square error. The object of the research is spatial and cartographic data of different buildings. The aim of the research is to determine and evaluate the accuracy of the coordinates obtained using remote sensing methods.
The average land productivity score is about 41.8 in the Republic of Lithuania. However, in separate regions it ranges from 30.5 to 55.1. The research object is agricultural utilities in rural municipalities of the Republic of Lithuania. The analysis of land use plan fragments in the selected areas shows that land is abandoned mostly in land areas where non-productive land or hilly relief prevails. Having improved conditions of land use, about 44 % of abandoned agricultural utilities can be transferred into intensive farming.
The objective of this research is to analyse the accuracy of horizontals which are formed by different mapping methods and to create an accuracy analysis model of surface elevation formed by different methods. The research was carried out in three stages: 1) Choosing the territory and collecting spatial data; 2) Data process ing; 3) Analysis of data. The research object is the relief of some part of the Pypliai Village which is in the Kaunas District. In respect of the relief it is a varied place of different expressiveness situated by the Nemunas River. After the comparison of elevation data got by geodetic and analogical methods it was estimated that the total intersect area was 0.9581 ha (32% of all investigative territory). When comparing the elevation model made by the geodetic method and the LiDAR method, it was estimated that elevation intersected in 1.2762 ha of the territory (43% of all investigative territory). In comparison of the eleva tion data of all three methods it was measured that the area of intersection was 0.5926 ha (only 20% of all investigative territory). It can be confirmed that the data is accurate in this territory-it intersects in all three mapping methods. The LiDAR elevation data is more accurate than the analogical model data. Neverthe less, the utmost 10 meters error is considerable while comparing to the geodetic model data, it occurs 10 times of 74 cases of comparison.
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