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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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Identification and Prediction of Interdisciplinary Research Topics: A Study Based on the Concept Lattice Theory

differentiation of areas of the Earth’s surface as shown in the character, arrangement, and interrelations over the world of such elements as climate, elevation, soil, vegetation, population, land use, industries, or states, as well as the unit areas formed by the complex of these individual elements (Clarivate Analytics, 2017). 6 Empirical Analysis 6.1 IDR topics identification (1) IDR topics identification in 2007 Figure 3a is an IDR topics concept lattice between LIS and Medical Informatics in 2007. It covers three topics, including qualitative analysis

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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, 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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