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Scheduling And Simulation Of VLBI Measurements For The Determination Of Earth Orientation Parameters

Geodetic VLBI System . Nilsson, Tobias, Robert Heinkelmann, Maria Karbon, Virginia Raposo-Pulido, Benedikt Soja, and Harald Schuh. 2014. “Earth Orientation Parameters Estimated from VLBI during the CONT11 Campaign.” Journal of Geodesy 88 (5): 491–502. doi:10.1007/s00190-014-0700-5. Petrachenko, W. T., H. Schuh, A. E. Niell, D. Behrend, and B. E. Corey. 2010. “VLBI2010: Next Generation VLBI System for Geodesy and Astrometry.” American Geophysical Union . http://adsabs.harvard.edu/abs/2010AGUFM.G14B..06P . Petrachenko, B., A. Niell, D. Behrend, B

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Testing impact of the strategy of VLBI data analysis on the estimation of Earth Orientation Parameters and station coordinates

., Heinkelmann, R., Karbon, M., Raposo-Pulido, V., Soja, B., & Schuh, H. (2014). Earth orientation parameters estimated from VLBI during the CONT11 campaign. Journal of Geodesy, 88(5), 491-502. doi: 10.1007/s00190-014-0700-5 Petit, G., & Luzum, B. (Eds.). (2010). IERS Conventions (2010). IERS Technical Note 36, Verlag des Bundesamts für Kartographie und Geodäsie, Frankfurt am Main, Germany. Petrachenko, W., Behrend, D., Hase, H., Ma, C., Niell, A., Schuh, H., & Whitney, A. (2013). The VLBI2010 Global Observing System (VGOS). In EGU General

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Local tectonic deformations measured by extensometer at the eastern foothills of the Alps at the Sopronbánfalva Geodynamic Observatory, Hungary

epoch GPS coordinate time series in geodynamic investigations of Sudetes area – proposal of a new approch. Acta Geodyn. Geomater., 3 , 3(143), 31–38. Krásná H., Malkin Z., Böhm J., 2015: Non-linear VLBI station motions and their impact on the celestial reference frame and the Earth orientation parameters. J. Geod., 89 , 10, 1019–1033, doi: 10.1007/s00190-015-0830-4. Krásná H., Ros C. T., Pavetich P., Böhm J., Nilsson T., Schuh H., 2013: Investigation of crustal motion in Europe by analysing the European VLBI sessions. Acta Geod. Geophys., 48 , 4, 389

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Geo-kinematic investigations in Slovakia and the region of Central and Southeastern Europe based on combination of permanent and epoch-wise GPS networks

November 2006 (in French). Altamimi Z., Collilieux X., Legrand J., Garayt B., Boucher C., 2007: ITRF2005: A new release of the International Terrestrial Reference Frame based on time series of station positions and Earth Orientation Parameters. Journal of Geophysical Research , 112 , B09401, doi: 10.1029/2007JB004949. Caporali A., Aichhorn C., Becker M., Fejes I., Gerhatova L., Ghitau D., Grenerzcy G., Hefty J., Krauss S., Medak D., Milev G., Mojzes M., Mulic M., Nardo A., Pesec P., Rus T., Simek J., Sledzinsky J

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Topographic surface modelling using raster grid datasets by GMT: example of the Kuril–Kamchatka Trench, Pacific Ocean

processing of geographic and Cartesian data sets. Several grid and vector layers are embedded in the GMT, such as the world coastline ( Wessel and Smith, 1996 ) that can be visualized directly using coordinates and choosing projection. A variety of cartographic projections and transformations (over 30) are presented in the GMT enabling cartographer to select coordinates, suitable map orientation and additional elements (e.g., standard parallels, meridian). The effectiveness of the GMT consists in flexibility and variety of the modules that enables to perform high

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Geodynamic Research at the Department of Planetary Geodesy, SRC PAS

maximum entropy spectral analysis - Part II: Fortran program, Geophysics, 45, 433-446. IERS, 2016, Earth orientation parameters, http://hpiers.obspm.fr/iers/eop/eopc04_05/ Jin S.G., Chambers P. , and Tapley D. (2010). Hydrological and oceanic effects on polar motion from GRACE and models, Journal of Geophysical Research, doi: 10.1029/2009JB006635. Jin S.G., Hassan A., and Feng G.P. (2012). Assessment of terrestrial water contributions to polar motion from GRACE and hydrological models, Journal of Geodynamics, 62, 40

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Diversity of Photogrammetric Approaches for Multi-Purpose Applications

., Remote Sensing, Vol. XXXVI, Part 5 Hao, X., & Mayer, H. (2003). Orientation and Auto-Calibration of Image Triplets and Sequences, IAPRSSIS, 34(3/W8), pp. 73-78 Kraus, K. (2007). Photogrammetry, vol.1, Fundamentals and Standard Processes, Bonn: Dümmlers Kurczyński, Z. (2006). Aerial and satellite imagery of Earth. Warsaw: Warsaw University of Technology Publishing House Lisowska, P. (2007). Use of Digital Photogrammetry for Architectural Inventory (Eng. Diploma thesis), Warsaw University of Technology

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Urban area change visualization and analysis using high density spatial data from time series aerial images

1 Introduction Land and urban management require detecting changes in topography and urban areas. Topography changes in rural areas are generally the results of natural processes such as landslides, earthquakes, coastal erosion de- or afforestation. Urban changes consist of new constructions, extensions, destructions, excavation work and earth fill formed by natural or human effects. Change detection in urban areas is essential for planning, management, building and discovering unauthorized construction activities. In addition, the results of earthquakes can

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Reconstruction and appraisal of Akunu–Akoko area iron ore deposits using geological and magnetic approaches

, S., Haney, M., Dannemiller, N. (2004): Comprehensive approaches to the inversion of magnetic data with strong remanent magnetization, 74th Ann. Internat. Mtg., Soc. Explor. Geophys ., Expanded Abstracts. [5] Telford, W. M., Geldart, L. P., Sheriff, R. G., Keys, D. A. (1976): Applied Geophysics : Cambridge University Press, Cambridge, pp. 7–215, 632–692. [6] Medeiros, W. E., Silva, J. B. C. (1995): Simultaneous estimation of total magnetization direction and spatial orientation: Geophysics , 50, 1365–1377. [7] Helbig, K. (1963): Some integrals

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High-energy seismic events in Legnica–Głogów Copper District in light of ASG-EUPOS data

observations, some frequent directions were distinguished without seasonal effects. In many stations, the analysed directions of detrended displacement vectors correspond to the orientation of tectonic lines. So, the statistical distribution of daily solutions of GNSS stations located in the Sudetes and adjacent areas including the analysed further on stations in the area of LGCD are not random, and in most stations, are oriented accordingly towards the Sudetes. It was concluded that the directions of temporal stations’ position changes can be an indication of the impulse

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