Academic literature on the topic 'Physical geodesy'
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Journal articles on the topic "Physical geodesy"
Bányai, L. "Results in physical geodesy." Acta Geodaetica et Geophysica Hungarica 40, no. 3-4 (October 2005): 307–15. http://dx.doi.org/10.1556/ageod.40.2005.3-4.5.
Full textIvan, M. "Polyhedral approximations in physical geodesy." Journal of Geodesy 70, no. 11 (September 1, 1996): 755–67. http://dx.doi.org/10.1007/s001900050065.
Full textIvan, M. "Polyhedral approximations in physical geodesy." Journal of Geodesy 70, no. 11 (November 1996): 755–67. http://dx.doi.org/10.1007/bf00867154.
Full textBrovar, B. V., and V. V. Popadyev. "Of scientific and technical anthology «Physical Geodesy»." Geodesy and Cartography 883, no. 1 (February 20, 2014): 58–59. http://dx.doi.org/10.22389/0016-7126-2014-883-1-58-59.
Full textBock, Yehuda, and Diego Melgar. "Physical applications of GPS geodesy: a review." Reports on Progress in Physics 79, no. 10 (August 23, 2016): 106801. http://dx.doi.org/10.1088/0034-4885/79/10/106801.
Full textFreeden, W., and F. Schneider. "An integrated wavelet concept of physical geodesy." Journal of Geodesy 72, no. 5 (May 29, 1998): 259–81. http://dx.doi.org/10.1007/s001900050166.
Full textKearsley, A. H. W. "Mathematical and Numerical Techniques in Physical Geodesy." Earth-Science Reviews 25, no. 4 (October 1988): 322–23. http://dx.doi.org/10.1016/0012-8252(88)90082-7.
Full textBrzeziński, Aleksander, Marcin Barlik, Ewa Andrasik, Waldemar Izdebski, Michał Kruczyk, Tomasz Liwosz, Tomasz Olszak, et al. "Geodetic and Geodynamic Studies at Department of Geodesy and Geodetic Astronomy Wut." Reports on Geodesy and Geoinformatics 100, no. 1 (June 1, 2016): 165–200. http://dx.doi.org/10.1515/rgg-2016-0013.
Full textSchwarz, K. P., M. G. Sideris, and R. Forsberg. "The use of FFT techniques in physical geodesy." Geophysical Journal International 100, no. 3 (March 1990): 485–514. http://dx.doi.org/10.1111/j.1365-246x.1990.tb00701.x.
Full textSjöberg, Lars E. "The secondary indirect topographic effect in physical geodesy." Studia Geophysica et Geodaetica 59, no. 2 (November 18, 2014): 173–87. http://dx.doi.org/10.1007/s11200-014-1003-2.
Full textDissertations / Theses on the topic "Physical geodesy"
Costea, Adrian [Verfasser]. "Mathematical modelling and numerical simulations in physical geodesy / Adrian Costea." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2012. http://d-nb.info/1026933242/34.
Full textNozaki, Kyozo. "Generalization of the Bouguer anomaly and its perspectives to the physical geodesy." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/144126.
Full textKohlhaas, Annika [Verfasser]. "Multiscale Methods on Regular Surfaces and Their Application to Physical Geodesy / Annika Kohlhaas." München : Verlag Dr. Hut, 2010. http://d-nb.info/1002327156/34.
Full textPrasad, Shivangi. "An examination of hurricane vulnerability of the U.S. northeast and mid-Atlantic region." Thesis, Florida Atlantic University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3571436.
Full textNortheastern and mid-Atlantic United States are understudied from the perspective of hurricane vulnerability. In an attempt to fill this gap in research, this dissertation attempted to assess the hurricane vulnerability of the northeastern and mid-Atlantic United States through the construction of a Composite Hurricane Vulnerability Index (CHVI) for 184 counties extending from Maine to Virginia. The CHVI was computed by incorporating indicators of human vulnerability and physical exposure. Human vulnerability was derived from demographic, social and economic characteristics whereas physical exposure was based on attributes of the natural and built up environments. The spatial distribution of the CHVI and its component indices were examined and analyzed to meet the research goals, which were a) to develop indices of human vulnerability, physical exposure and composite hurricane vulnerability for all counties; b) to assess vulnerability distribution in terms of population size, metropolitan status (metropolitan versus non metropolitan counties) and location (coastal versus inland counties); c) to identify the specific underlying causes of vulnerability; d) to identify the significant clusters and outliers of high vulnerability; and e) to examine overlaps between high human vulnerability and high physical exposure in the region.
Results indicated high overall vulnerability for counties that were metropolitan and / or coastal. Vulnerability was high at both ends of the population continuum. Coastal areas had high natural exposure whereas metropolitan areas had high built exposure. In large metropolitan counties, human vulnerability was influenced most strongly by economic vulnerability. In non-metropolitan and small metropolitan counties, vulnerability was an outcome of a combination of demographic, social and economic factors. Vulnerability clusters and intersections pointed towards high vulnerability in the major cities along the northeastern megalopolis, in the Hampton Roads section of Virginia and in parts of Delmarva Peninsula.
Research findings have important implications for disaster management. Evidence of relationship of population size, metropolitan status and location with vulnerability levels provides a new perspective to vulnerability assessment. Identification of high vulnerability counties can lead to effective resource allocation and emergency management and mitigation plans. Detection of dominant underlying causes of vulnerability can help develop targeted strategies for vulnerability reduction.
McPherson, Rachel. "Walking with Lucy| Modeling Mobility Patterns of Australopithecus afarensis Using GIS." Thesis, University of Colorado at Denver, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10750014.
Full textBehavior is perhaps the most challenging component of an extinct organism to reconstruct and understand. Often in paleoanthropology, researchers primarily have fossils and paleoecological data; however, combining these into models of hominin behavior is difficult in practice. Yet for years archaeologists and wildlife biologists have been using Geographic Information Systems (GIS) to model the mobility behavior of humans and other animals. This research seeks to integrate the methodology of cost-distance modeling in GIS into paleoanthropology to understand hominin mobility, specifically investigating if the potential mobility pattern of Australopithecus afarensis can be modeled to understand how they got across Eastern Africa to their known sites. The models created for Au. afarensis, humans, and chimpanzees brought together walking time as a cost factor and modern slope as an impediment to movement. These values were input into the Cost Distance tool in ArcGIS with Laetoli as the source and tested on two study areas, Laetoli and Eastern Africa. Known Au. afarensis sites matched areas of least cost for each potential mobility pattern, which indicated that 1) none of the models could be ruled as the best potential mobility pattern for Au. afarensis, 2) Au. afarensis likely avoided steeper gradients, and 3) modern gradient data were not incompatible with the models. Despite limitations to this study, these models provide a foundation for research into hominin mobility patterns using GIS.
Lobianco, Maria Cristina Barboza. "Determinação das alturas do geóide no Brasil." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-21022006-162205/.
Full textThe Global Positoning System (GPS) generated a revolutionon on coordinates acquisition, considering quickness and precision. However, the major need in Geodesy, Geophysics and Engineering areas, regarding heights, is directed to orthometric height, not to ellipsoidal (determined by GPS). A more accurate geoid undulation model would allow the transformation of ellipsoidal to orthometric heights, keeping the same precision level of GPS determinations. This work generated gravity geoid models to Brasil, GEOIDE2005 and STOKES2005, using the remove-restore technique together with the modification of Stokes integral kernel proposed by Featherstone, in FFT computation, and the Vanicek and Kleusberg proposal, in numerical integration computation. The gravimetric informations used in the computations, from several Brazilian and South American organizations, were compiled, validated and homogenized to generate a 10x 10Helmert mean gravity grid, on terrestrial areas, and free-air, on ocean. The geoid long wavelength contribution, related to integration caps external area, is provided by a geopotential model. The choice of this model was done from comparisons of different geopotential models in order to identify the one that best fits to the country. The digital terrain model was selected from detailed studies and was used to generate mean height values, reconstitute Helmert anomalies from Bouguer, compute terrain correction and indirect effect. Informations about stations with ellipsoidal height, determined by GPS surveys, and orthometric height, obtained by spirit levelling,, were organized and analyzed. The differences between these two heights provided the geoid undulations used to evaluate geopotential models and geoid models presented here. At the end, the results from comparisons and conclusions are informed, future perspectives are raised and recommendations are suggested.
Amante, Christopher Joseph. "Consideration of Elevation Uncertainty in Coastal Flood Models." Thesis, University of Colorado at Boulder, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10844867.
Full textDigital elevation models (DEMs) are critical components of coastal flood models. Both present-day storm surge models and future flood risk models require these representations of the Earth’s elevation surface to delineate potentially flooded areas. The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) develops DEMs for United States’ coastal communities by seamlessly integrating bathymetric and topographic data sets of disparate age, quality, and measurement density. A current limitation of the NOAA NCEI DEMs is the accompanying non-spatial metadata, which only provide estimates of the measurement uncertainty of each data set utilized in the development of the DEM.
Vertical errors in coastal DEMs are deviations in elevation values from the actual seabed or land surface, and originate from numerous sources, including the elevation measurements, as well as the datum transformation that converts measurements to a common vertical reference system, spatial resolution of the DEM, and interpolative gridding technique that estimates elevations in areas unconstrained by measurements. The magnitude and spatial distribution of vertical errors are typically unknown, and estimations of DEM uncertainty are a statistical assessment of the likely magnitude of these errors. Estimating DEM uncertainty is important because the uncertainty decreases the reliability of coastal flood models utilized in risk assessments.
I develop methods to estimate the DEM cell-level uncertainty that originates from these numerous sources, most notably, the DEM spatial resolution, to advance the current practice of non-spatial metadata with NOAA NCEI DEMs. I then incorporate the estimated DEM cell-level uncertainty, as well as the uncertainty of storm surge models and future sea-level rise projections, in a future flood risk assessment for the Tottenville neighborhood of New York City to demonstrate the importance of considering DEM uncertainty in coastal flood models. I generate statistical products from a 500-member Monte Carlo ensemble that incorporates these main sources of uncertainty to more reliably assess the future flood risk. The future flood risk assessment can, in turn, aid mitigation efforts to reduce the vulnerability of coastal populations, property, and infrastructure to future coastal flooding.
Ruby, Caitlin A. "Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments." Thesis, Mississippi State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10268275.
Full textThe Coastal and Marine Ecological Classification Standard (CMECS) provides a comprehensive framework of common terminology for organizing physical, chemical, biological, and geological information about marine ecosystems. Federally endorsed as a dynamic content standard, all federally funded data must be compliant by 2018; however, applying CMECS to deep sea datasets and underwater video have not been extensively examined. The presented research demonstrates the extent to which CMECS can be applied to deep sea benthic habitats, assesses the feasibility of applying CMECS to remotely operated vehicle (ROV) video data in near-real-time, and establishes best practices for mapping environmental aspects and observed deep sea habitats as viewed by the ROV’s forward-facing camera. All data were collected during 2014 in the Northern Gulf of Mexico by the National Oceanic and Atmospheric Administration’s (NOAA) ROV Deep Discoverer and ship Okeanos Explorer.
Ryttberg, Mattias. "Introducing Lantmäteriet’s gravity data in ArcGIS with implementation of customized GIS functions." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-203137.
Full textRobinson, James. "The geodesic acoustic mode in strongly-shaped tight aspect ratio tokamaks." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/57618/.
Full textBooks on the topic "Physical geodesy"
Bjerhammar, Arne. Discrete physical geodesy. Columbus, Ohio: Dept. of Geodetic Science and Surveying, Ohio State University, 1987.
Find full textPick, Miloš. Advanced physical geodesy and gravimetry. Prague: Ministry of Defence, Topographic Dept. of the General Staff of the Army of the Czech Republic, 2000.
Find full textBjerhammar, Arne. Megatrend solutions in physical geodesy. Rockville, MD: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Charting and Geodetic Services, 1986.
Find full textSoffel, Michael H. Relativity in Astrometry, Celestial Mechanics and Geodesy. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.
Find full textSünkel, Hans, ed. Mathematical and Numerical Techniques in Physical Geodesy. Berlin/Heidelberg: Springer-Verlag, 1986. http://dx.doi.org/10.1007/bfb0010130.
Full textIntroduction to geometrical and physical geodesy: Foundations of geomatics. Redlands, Calif: ESRI Press, 2010.
Find full textLandau, Herbert. GPS research 1985 at the Institute of Astronomical and Physical Geodesy. München: Universitärer Studiengang Vermessungswesen, Universität der Bundeswehr München, 1986.
Find full textLehmann, Rüdiger. Studies on the use of the boundary element method in physical geodesy. München: Verlag der Bayerischen Akademie der Wissenschaften, 1997.
Find full textSchmadel, Lutz D. Dictionary of Minor Planet Names: Addendum to Fifth Edition: 20032005 00. Berlin, Heidelberg: Springer-Verlag, 2006.
Find full textBook chapters on the topic "Physical geodesy"
Burkholder, Earl F. "Physical Geodesy." In The 3-D Global Spatial Data Model, 213–35. Second edition. | Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120102-9.
Full textChakravarthi, V. "Geodesy, Physical." In Encyclopedia of Solid Earth Geophysics, 331–35. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_227.
Full textChakravarthi, V. "Geodesy, Physical." In Encyclopedia of Solid Earth Geophysics, 1–6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_227-1.
Full textChakravarthi, V. "Geodesy, Physical." In Encyclopedia of Solid Earth Geophysics, 442–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_227.
Full textMoritz, Helmut. "Classical Physical Geodesy." In Handbook of Geomathematics, 253–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-54551-1_6.
Full textMoritz, Helmut. "Classical Physical Geodesy." In Handbook of Geomathematics, 125–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01546-5_6.
Full textMoritz, Helmut. "Classical Physical Geodesy." In Handbook of Geomathematics, 1–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-27793-1_6-2.
Full textSjöberg, Lars E., and Mohammad Bagherbandi. "Classical Physical Geodesy." In Gravity Inversion and Integration, 83–119. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50298-4_3.
Full textSjöberg, Lars E., and Mohammad Bagherbandi. "Modern Physical Geodesy." In Gravity Inversion and Integration, 121–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50298-4_4.
Full textHolota, P. "Direct methods in physical geodesy." In Geodesy Beyond 2000, 163–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59742-8_27.
Full textConference papers on the topic "Physical geodesy"
Rodriguez-Gonzalvez, Pablo, Cristina Allende-Prieto, and Manuel Rodríguez-Martín. "Learning physical geodesy. Application case to geoid undulation computation." In TEEM'20: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3434780.3436546.
Full textNico, G., A. Nina, P. Biagi, R. Colella, and A. Ermini. "Studying the temporal variations of atmosphere physical properties at different spatial and temporal scales by VLF radio signals and space geodesy techniques." In 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2020. http://dx.doi.org/10.23919/ursigass49373.2020.9232381.
Full textRosenband, T., C. W. Chou, D. B. Hume, and D. J. Wineland. "Al+ optical clocks for fundamental physics, geodesy, and quantum metrology." In Laser Science. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/ls.2010.lwb4.
Full textCrippa, Bruno, Roberto Sabadini, Massimiliano Chersich, Riccardo Barzaghi, and Giuliano Panza. "Coupling geophysical modelling and geodesy to unravel the physics of active faults." In 2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas (USEReST). IEEE, 2008. http://dx.doi.org/10.1109/userest.2008.4740331.
Full textZheng, Chun hua, Joseph Doll, Emily Gu, Elizabeth Hager-Barnard, Zubin Huang, AmirAli Kia, Monica Ortiz, et al. "Exploring Cellular Tensegrity: Physical Modeling and Computational Simulation." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192407.
Full textDell’Agnello, S., A. Boni, C. Cantone, M. Tibuzzi, R. Vittori, G. Bianco, C. Mondaini, et al. "Next-generation laser retroreflectors for GNSS, solar system exploration, geodesy, gravitational physics and earth observation." In International Conference on Space Optics 2014, edited by Bruno Cugny, Zoran Sodnik, and Nikos Karafolas. SPIE, 2018. http://dx.doi.org/10.1117/12.2304232.
Full textHinterleitner, Irena. "On global geodesic mappings of ellipsoids." In XX INTERNATIONAL FALL WORKSHOP ON GEOMETRY AND PHYSICS. AIP, 2012. http://dx.doi.org/10.1063/1.4733377.
Full textDalvit, Diego A. R., and Francisco D. Mazzitelli. "Quantum corrections to the geodesic equation." In The second meeting on trends in theoretical physics. AIP, 1999. http://dx.doi.org/10.1063/1.59666.
Full textHackmann, E., and C. Lämmerzahl. "Analytical solution methods for geodesic motion." In RECENT DEVELOPMENTS ON PHYSICS IN STRONG GRAVITATIONAL FIELDS: V Leopoldo García-Colín Mexican Meeting on Mathematical and Experimental Physics. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4861945.
Full textFernández-Jambrina, L. "Geodesic Completeness around Sudden Singularities." In A CENTURY OF RELATIVITY PHYSICS: ERE 2005; XXVIII Spanish Relativity Meeting. AIP, 2006. http://dx.doi.org/10.1063/1.2218204.
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