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PL
Artykuł dotyczy tematu zniekształceń odwzorowawczych w odwzorowaniu kartograficznym Gaussa-Krügera. W artykule zawarto krótkie wprowadzenie do tematu zniekształceń odwzorowawczych, wymieniono zniekształcenia generowane przez odwzorowanie Gaussa-Krügera (nie wymieniono zniekształceń powierzchni, które wynikają ze zniekształceń odległości). Omówiono państwowe układy współrzędnych oraz pomiary eksperymentalne przeprowadzone w ramach pracy inżynierskiej współautora. Pomiary eksperymentalne polegały na pomiarze współrzędnych punktów sieci testowej, zlokalizowanej przy granicy 5 i 6 strefy odwzorowawczej, z wykorzystaniem techniki satelitarnej RTN oraz pomiarze tachimetrem długości boków sieci i kątów między tymi bokami. Omówiono również część zasad związanych z zakładaniem osnów pomiarowych obowiązujących w czasie przeprowadzania eksperymentu, a także wnioski z eksperymentu.
EN
The article concerns the topic of mapping distortions in the Gauss-Krüger cartographic projection. The article contains a brief introduction to the subject of projection distortions, distortions generated by the Gauss-Krüger projection are listed (surface distortions resulting from distortions of distance are not mentioned). National coordinate systems and experimental measurements carried out as part of the co-author's engineering work are discussed. The experimental measurements consisted in measuring the coordinates of the test network points, located at the border of the 5th and 6th mapping zone, using the RTN satellite technique and measuring the length of the network sides and the angles between these sides with a total station. Some of the rules related to setting up the measurement networks in force at the time of the experiment, as well as the conclusions of the experiment were also discussed.
2
Content available Global Geodetic Observing System 2015–2018
EN
Global Geodetic Observing System (GGOS) was established in 2003 by the International Association of Geodesy (IAG) with the main goal to deepen understanding of the dynamic Earth system by quantifying human-induced Earth’s changes in space and time. GGOS allows not only for advancing Earth Science, including solid Earth, oceans, ice, atmosphere, but also for better understanding processes between different constituents forming the system Earth, and most importantly, for helping authorities to make intelligent societal decisions. GGOS comprises different components to provide the geodetic infrastructure necessary for monitoring the Earth system and global changes. The infrastructure spreads from the global scale, through regional, to national scales. This contribution describes the GGOS structure, components, and goals with the main focus on GGOS activities in Poland, including both the development of the geodetic observing infrastructure as well as advances in processing geodetic observations supporting GGOS goals and providing high-accuracy global geodetic parameters.
EN
The paper presents empirical methodology of reducing various kinds of observations in geodetic network. A special case of reducing the observation concerns cartographic mapping. For numerical illustration and comparison of methods an application of the conformal Gauss-Krüger mapping was used. Empirical methods are an alternative to the classic differential and multi-stages methods. Numerical benefits concern in particular very long geodesics, created for example by GNSS vectors. In conventional methods the numerical errors of reduction values are significantly dependent on the length of the geodesic. The proposed empirical methods do not have this unfavorable characteristics. Reduction value is determined as a difference (or especially scaled difference) of the corresponding measures of geometric elements (distances, angles), wherein these measures are approximated independently in two spaces based on the known and corresponding approximate coordinates of the network points. Since in the iterative process of the network adjustment, coordinates of the points are systematically improved, approximated reductions also converge to certain optimal values.
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