Relevant bibliographies by topics / Geoid determination

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Geoid determination'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Geoid determination"

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Marques, Éder Teixeira, William Rodrigo Dal Poz, and Gabriel Do Nascimento Guimarães. "GEOID MODELLING USING INTEGRATION AND FFT ASSOCIATED WITH DIFFERENT GRAVIMETRIC REDUCTION METHODS." Revista Brasileira de Geofísica 36, no. 1 (March 20, 2018): 81. http://dx.doi.org/10.22564/rbgf.v36i1.909.

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ABSTRACT. A vertical reference system is characterized by a vertical datum and a set of scientific altitudes. In the case of orthometric altitudes, the geoid is used as a reference surface, equipotential surface of the gravity field of the Earth that better fits, in the sense of the Least Square Method, to the mean sea level. This study aimed to determine the geoid by applying two processes for calculation of residual ondulation, the integration and the Fast Fourier Transform. These techniques were applied to the values of the residual anomalies obtained from different methods of gravimetric reduction, the Helmert’s Second Method of Condensation, Bouguer and Rudzki. Two test areas were used. For area 1, the best gravimetric geoid was obtained by applying 1D planar FFT with the Helmert’s SecondMethod of Condensation. For area 2, the best gravimetric geoid was obtained through the application of integration and the Rudzki’s reduction. It can be concluded that the physical characteristics of both areas are relevant in the determination of the geoid and that additional procedures must be applied to improve the geoid determination, mainly, in area 2 whose physical characteristics are more heterogeneous than in area 1.Keywords: Geoid, GeoFis 1.0, Gravimetric Reduction, FFT, Stokes Integral. RESUMO. Um sistema vertical de referência é caracterizado por um datum vertical e pelo conjunto de altitudes científicas. No caso das altitudes científicas adotadas serem as ortométricas utiliza-se como superfície de referência o geoide, superfície equipotencial do campo da gravidade da Terra que melhor se ajusta, no sentido do método dos mínimos quadrados, ao nível médio do mar. O objetivo desse trabalho foi determinar o geoide aplicando dois processos de cálculo da ondulação residual, a integração e a Transformada Rápida de Fourier. Essas técnicas foram empregadas aos valores de anomalias residuais obtidas a partir de diferentes métodos de redução gravimétrica, Segundo Método de Condensação de Helmert, Bouguer e Rudzki. Foram utilizadas duas áreas de teste. Verificou-se que para a área 1 o melhor geoide gravimétrico foi obtido pela aplicação da FFT planar 1D juntamente com o Segundo Método de Condensação de Helmert. Para a área 2 o melhor geoide gravimétrico foi obtido pela aplicação da integração e da redução de Rudzki. Conclui-se que as características físicas das duas áreas são relevantes na determinação do geoide e que procedimentos complementares devem ser aplicados para melhorar a determinação do geoide, principalmente, na área 2 cujas características físicas são mais heterogêneas do que da área 1. Palavras-chave: Geoide, GeoFis 1.0, Redução gravimétrica, FFT, Integral de Stokes.
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Forsberg, R., A. Olesen, L. Bastos, A. Gidskehaug, U. Meyer, and L. Timmen. "Airborne geoid determination." Earth, Planets and Space 52, no. 10 (October 2000): 863–66. http://dx.doi.org/10.1186/bf03352296.

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Manandhar, Niraj, and Shanker K.C. "Geoid Determination and Gravity Works in Nepal." Journal on Geoinformatics, Nepal 17, no. 1 (June 4, 2018): 7–15. http://dx.doi.org/10.3126/njg.v17i1.23003.

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Gravimetric geoid plays the important role in the process of local/regional geoidal undulation determination. This approach uses the residual gravity anomalies determined by the surface gravity measurement using the gravimeter together with best fit geopotential model, with the geoid undulations over the oceans determined from the method of satellite altimetry. Mass distribution, position and elevation are prominent factors affecting the surface gravity. These information in combination with geopotential model helps in satellite orbit determination, oil, mineral and gas exploration supporting in the national economy. The preliminary geoid thus computed using airborne gravity and other surface gravity observation and the accuracy of computed geoid was likely at the 10-20cm in the interior of Nepal but higher near the border due to lack of data in China and India. The geoid thus defined is significantly improved relative to EGM –08 geoid.
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Erol, Serdar, Emrah Özögel, Ramazan Alper Kuçak, and Bihter Erol. "Utilizing Airborne LiDAR and UAV Photogrammetry Techniques in Local Geoid Model Determination and Validation." ISPRS International Journal of Geo-Information 9, no. 9 (September 2, 2020): 528. http://dx.doi.org/10.3390/ijgi9090528.

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This investigation evaluates the performance of digital terrain models (DTMs) generated in different vertical datums by aerial LiDAR and unmanned aerial vehicle (UAV) photogrammetry techniques, for the determination and validation of local geoid models. Many engineering projects require the point heights referring to a physical surface, i.e., geoid, rather than an ellipsoid. When a high-accuracy local geoid model is available in the study area, the physical heights are practically obtained with the transformation of global navigation satellite system (GNSS) ellipsoidal heights of the points. Besides the commonly used geodetic methods, this study introduces a novel approach for the determination and validation of the local geoid surface models using photogrammetry. The numeric tests were carried out in the Bergama region, in the west of Turkey. Using direct georeferenced airborne LiDAR and indirect georeferenced UAV photogrammetry-derived point clouds, DTMs were generated in ellipsoidal and geoidal vertical datums, respectively. After this, the local geoid models were calculated as differences between the generated DTMs. Generated local geoid models in the grid and pointwise formats were tested and compared with the regional gravimetric geoid model (TG03) and a high-resolution global geoid model (EIGEN6C4), respectively. In conclusion, the applied approach provided sufficient performance for modeling and validating the geoid heights with centimeter-level accuracy.
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Jürgenson, Harli, Kristina Türk, and Jüri Randjärv. "DETERMINATION AND EVALUATION OF THE ESTONIAN FITTED GEOID MODEL EST-GEOID 2003 / ESTIJOS GEOIDO MODELIO EST-GEOID 2003 SUDARYMAS IR VERTINIMAS / СОЗДАНИЕ И ОЦЕНКА МОДЕЛИ ГЕОИДА ЭСТОНИИ EST-GEOID2003." Geodesy and Cartography 37, no. 1 (April 15, 2011): 15–21. http://dx.doi.org/10.3846/13921541.2011.558339.

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This paper focuses on issues related to the calculation of a high-precision fitted geoid model on Estonian territory. Model Est-Geoid2003 have been used in Estonia several years in geodesy and other applications. New data from precise levelling, new global models and terrestrial gravity data give plenty of possibilities for updates and accuracy evaluation. The model is based on a gravimetric geoid. From the gravimetric data gathered, a gravimetric geoid for Estonia was calculated as an approximately 3-km net using the FFT method. After including the new gravimetric data gathered, the gravimetric geoid no longer had any significant tilt relative to the height anomalies derived from GPS-levelling points. The standard deviation between the points was 2.7 cm. The surface of the calculated gravimetric geoid was fitted by high-precision GPS-levelling points. As a result, a height transformation model was determined to reflect the differences between the normal heights of BK77 and the ellipsoidal heights of EUREF-EST97 on Estonian territory. The model was originally called Est-Geoid2003 and is part of the official national geodetic system in Estonia. The model is updated and evaluated here using precise GPS-levelling points obtained from different measurement campaigns. In 2008–2010 the preliminary results from the latest precise levelling sessions became available, leading to a significant increase in the number of precise GPS-levelling points. Both networks are part of the Estonian integrated geodetic network. Using very precise levelling connections from new levelling lines, normal heights of several RGP points were calculated additionally. Misclosure of 300 km polygons are less than 2–3 mm normally. Ealier all precisely levelled RGP points were included into fitting points. Now many new points are available for fitting and independent evaluation. However, the use of several benchmarks for the same RGP point sometimes results in a 1–2 cm difference in normal height. This reveals problems with the stability of older wall benchmarks, which are widely used in Estonia. Even we recognized, that 0.5 cm fitted geoid model is not achievable using wall benchmarks. New evaluation of the model Est-Geoid2003 is introduced in the light of preliminary data from new precise levelling. Model accuracy is recognised about 1.2 cm as rms. Santrauka Akcentuojami klausimai, susiję su tiksliausio Estijos geoido modelio skaičiavimu. Šis modelis Estijoje geodezijoje ir kitose mokslo bei technikos šakose taikomas nuo 2003 metų. Nauji precizinės niveliacijos duomenys, nauji globalieji geopotencialo modeliai ir žemyno gravimetriniai duomenys – prielaidos geoido modeliui atnaujinti ir jo tikslumui įvertinti. Modelio pagrindas – gravimetrinis geoidas. Pagal surinktus gravimetrinius duomenis Estijos geoidas buvo apskaičiuotas greitųjų Furjė tranformacijų (FFT) metodu, sukuriant apie 3 km akių tinklą. Įtraukus naujuosius gravimetrinius duomenis, gravimetrinis geoidas daugiau nebeturi aukščių anomalijų. Vidutinė kvadratinė paklaida – 2,7 cm. Apskaičiuoto gravimetrinio geoido paviršius susietas su aukščių sistema pagal GPS niveliacijos taškus. 2008–2010 m. gavus precizinės niveliacijos duomenis, žymiai padidėjo GPS niveliacijos taškų skaičius bei jų tikslumas, nes precizinės niveliacijos poligonų iki 300 km nesąryšiai gauti mažesni nei 2–3 mm. Įvertinus naujo Estijos geoido modelio tikslumą nustatyta 1,2 cm vidutinė kvadratinė paklaida. Резюме Акцентируются вопросы, касающиеся вычисления точной модели геоида Эстонии. Эта модель применяется в Эстонии с 2003 г. в геодезии и других отраслях науки и техники. Новые данные высокоточной нивеляции, новые глобальные модели геопотенциала, а также гравиметрические данные создают предпосылки для обновления модели геоида и оценки его точности. Модель основана на гравиметрическом геоиде. Модель геоида Эстонии была вычислена быстрым методом Фурье с использованием всех гравиметрических данных и созданием сети 3×3 км. После использования новых гравиметрических данных в геоиде не оказалось значительного превышения высот по сравнению с точками, измеренными методом GPS. Среднеквадратическая погрешность составила 2,7 см. Вычисленная модель геоида была соединена с системой высот по точкам GPSнивелирования. Благодаря новым данным по высокоточной нивеляции, полученным в 2008–2010 гг., значительно увеличилось количество точек GPSнивелирования и тем самым увеличилась точность геоида, так как невязки полигонов нивелирования составляют всего 2–3 мм. Оценив точность нового геоида Эстонии, выявлено среднеквадратическое отклонение в 1,2 см.
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Lukoševičius, Viktoras. "DFHRS-BASED COMPUTATION OF QUASI-GEOID OF LATVIA." Geodesy and Cartography 39, no. 1 (April 12, 2013): 11–17. http://dx.doi.org/10.3846/20296991.2013.788827.

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In geodesy, civil engineering and related fields high accuracy coordinate determination is needed, for that reason GNSS technologies plays important role. Transformation from GNSS derived ellipsoidal heights to orthometric or normal heights requires a high accuracy geoid or quasi-geoid model, respectively the accuracy of the currently used Latvian gravimetric quasi-geoid model LV'98 is 6–8 cm. The objective of this work was to calculate an improved quasi-geoid (QGeoid) for Latvia. The computation was performed by applying the DFHRS software. This paper discusses obtained geoid height reference surface, its comparisons to other geoid models, fitting point statistics and quality control based on independent measurements.
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Truong, Nguyen Ngoc, and Tran Van Nhac. "Determination of the constant Wo for local geoid of Vietnam and it’s systematic deviation from the global geoid." Tạp chí Khoa học và Công nghệ biển 17, no. 4B (December 15, 2017): 138–44. http://dx.doi.org/10.15625/1859-3097/17/4b/13001.

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Constant Wo, defining the geoid, has important applications in the area of physical geodesy. With the development of artificial Earth satellite, constant Wo for the global geoid approximating the oceans on Earth can be calculated from an expansion of spherical harmonics - Stokes constants determined by observation of perturbations in artificial satellite’s orbits. However, the Stokes constants are limited, therefore the geoid constant Wo could not be calculated for local geoid (state geoid) from the mentioned expansion of spherical harmonics. In this paper, we present a method to determine the constant Wo for local geoid of Vietnam, using generalized Bruns formula and Neyman boundary problem. The initial data used are Faye gravity anomalies surveyed on land and sea of Southern Vietnam. The constant Wo is then used to calculate the systematic deviation of the local geoid of Vietnam from the global geoid EGM - 96.
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Sjöberg, Lars E. "The topographic bias in gravimetric geoid determination revisited." Journal of Geodetic Science 9, no. 1 (January 1, 2019): 59–64. http://dx.doi.org/10.1515/jogs-2019-0007.

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Abstract The topographic potential bias at geoid level is the error of the analytically continued geopotential from or above the Earth’s surface to the geoid. We show that the topographic potential can be expressed as the sum of two Bouguer shell components, where the density distribution of one is spherical symmetric and the other is harmonic at any point along the normal to a sphere through the computation point. As a harmonic potential does not affect the bias, the resulting topographic bias is that of the first component, i.e. the spherical symmetric Bouguer shell. This implies that the so-called terrain potential is not likely to contribute significantly to the bias. We present three examples of the geoid bias for different topographic density distributions.
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Ayhan, M. Emin. "Geoid determination in Turkey (TG-91)." Bulletin Géodésique 67, no. 1 (March 1993): 10–22. http://dx.doi.org/10.1007/bf00807293.

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Jiang, Z., and H. Duquenne. "On fast integration in geoid determination." Journal of Geodesy 71, no. 2 (January 21, 1997): 59–69. http://dx.doi.org/10.1007/s001900050075.

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Dissertations / Theses on the topic "Geoid determination"

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Li, Yecai. "Airborne gravimetry for geoid determination." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0018/NQ54797.pdf.

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Garcia, Ramon V. "Local geoid determination from GRACE mission /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486398195325232.

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Serpas, Juan Gilberto. "Local and regional geoid determination from vector airborne gravimetry." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1066757143.

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Wan, Mohd Akib Wan Abdul Aziz. "A preliminary determination of a gravimetric geoid in Peninsular Malaysia." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283665.

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Kamarudin, Md Nor. "Local geoid determination from a combination of gravity and GPS data." Thesis, University of Newcastle Upon Tyne, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363535.

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Inerbayeva, (Shoganbekova) Daniya. "Determination of a gravimetric geoid model of Kazakhstan using the KTH-method." Thesis, KTH, Geoinformatik och Geodesi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-52284.

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This study work deals with the determination of the gravimetric geoid model for Kazakhstan by using the KTH-method. A number of data sets were collected for this work, such as the gravity anomalies, high-resolution Digital Elevation Model (DEM), Global Geopotential Models (GGMs) and GPS/Levelling data. These data has been optimally combined through the KTH approach, developed at the Royal Institute of Technology (KTH) in Stockholm. According to this stochastic method, Stokes’ formula is being used with the original surface gravity anomaly, which combine with a GGM yields approximate geoid heights. The corrected geoid heights are then obtained by adding the topographic, downward continuation, atmospheric and ellipsoidal corrections to the approximate geoid heights. To compute the geoid model for Kazakhstan as accurately as possible with available data set different numerical tests have been performed: Choice of the best fit geopotential model in the computation area Investigations for the best choice of the initial condition for determination of the least-squares parameters Selection of the best parametric model for reducing the effect of the systematic error and data inconsistencies between computed geoid heights and GPS/Levelling heights.  Finally, 5'x5' Kazakh gravimetric geoid (KazGM2010) has been modelled.
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Nahavandchi, Hossein. "Precise gravimetric-GPS geoid determination with improved topographic corrections applied over Sweden." Doctoral thesis, KTH, Geodesy and Photogrammetry, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2726.

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Featherstone, William Edward. "A G.P.S. controlled gravimetric determination of the geoid of the British Isles." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306204.

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Abdalla, Ahmed. "Determination of a gravimetric geoid model of Sudan using the KTH method." Thesis, KTH, Geodesi och satellitpositionering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199670.

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The main objective of this study is to compute a new gravimetric geoid model of Sudan using the KTH method based on modification of Stokes’ formula for geoid determination. The modified Stokes’ formula combines regional terrestrial gravity with long-wavelength gravity information provided by the global gravitational model (GGM). The collected datasets for this study contained the terrestrial gravity measurements, digital elevation model (DEM), GPS/levelling data and four global gravitational Models (GGMs), (EGM96, EIGEN-GRACE02S, EIGEN-GL04C and GGM03S). The gravity data underwent cross validation technique for outliers detection, three gridding algorithms (Kriging, Inverse Distance Weighting and Nearest Neighbor) have been tested, thereafter the best interpolation approach has been chosen for gridding the refined gravity data. The GGMs contributions were evaluated with GPS/levelling data to choose the best one to be used in the combined formula. In this study three stochastic modification methods of Stokes’ formula (Optimum, Unbiased and Biased) were performed, hence an approximate geoid height was computed. Thereafter, some additive corrections (Topographic, Downward Continuation, Atmospheric and Ellipsoidal) were added to the approximated geoid height to get corrected geoid height. The new gravimetric geoid model (KTH-SDG08) has been determined over the whole country of Sudan at 5′ x 5′ grid for area ( 4 ). The optimum method provides the best agreement with GPS/levelling estimated to 29 cm while the agreement for the relative geoid heights to 0.493 ppm. A comparison has also been made between the new geoid model and a previous model, determined in 1991 and shows better accuracy. 􀁄 ≤φ ≤ 23􀁄 , 22􀁄 ≤ λ ≤ 38􀁄 Keywords: geoid model, KTH method, stochastic modification methods, modified Stokes’ formula, additive corrections.
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Zhang, Kefei. "An evaluation of FFT geoid determination techniques and their application to height determination using GPS in Australia." Curtin University of Technology, School of Surveying and Land Information, 1997. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11047.

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A new, high resolution, high precision and accuracy gravimetric geoid of Australia has been produced using updated data, theory and computational methodologies. The fast Fourier transform technique is applied to the computation of the geoid and terrain effects. The long, medium and short wavelength components of the geoid are determined from the OSU91A global geopotential model, 2'x2' (residual gravity anomalies in a 3 degrees cap and 1'x1' digital terrain model (DTM), respectively.Satellite altimeter gravity data have been combined with marine gravity data to improve the coverage of the gravity data, and thus the quality of the geoid. The best gridding procedure for gravity data has been studied and applied to the gravity data gridding. It is found that the gravity field of Australia behaves quite differently. None of the free-air, Bouguer or topographic-isostatic gravity anomalies are consistently the smoothest. The Bouguer anomaly is often rougher than the free-air anomaly and thus should be not used for gravity field gridding. It is also revealed that in some regions the topography often contains longer wavelength features than the gravity anomalies.It is demonstrated that the inclusion of terrain effects is crucial for the determination of an accurate gravimetric geoid. Both the direct and indirect terrain effects need to be taken into account in the precise geoid determination of Australia. The existing AUSGEOID93 could be in error up to 0.7m in terms of the terrain effect only. In addition, a series of formulas have been developed to evaluate the precision of the terrain effects. These formulas allow the effectiveness of the terrain correction and precision requirement for a given DTM to be studied. It is recommended that the newly released 9"x9" DTM could be more effectively used if it is based on 15"x15" grid.It is estimated from comparisons with Global ++
Positioning System (GPS) and Australian Height Datum Data that the absolute accuracy of the new geoid is better than 33cm and the relative precision of the new geoid is better than 10~20cm. This new geoid can support Australian GPS heighting to third-order specifications.
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Books on the topic "Geoid determination"

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Sansò, Fernando, and Michael G. Sideris, eds. Geoid Determination. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-74700-0.

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Rapp, Richard H., and Fernando Sansò, eds. Determination of the Geoid. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3104-2.

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Sansò, Fernando. Geoid Determination: Theory and Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Boundary-value problems for gravimetric determination of a precise geoid. Berlin: Springer, 1998.

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Sideris, Michael G., and Fernando Sansò. Geoid Determination: Theory and Methods. Springer, 2013.

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Sideris, Michael G., and Fernando Sansò. Geoid Determination: Theory and Methods. Springer, 2013.

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Sideris, Michael G., and Fernando Sansò. Geoid Determination: Theory and Methods. Springer, 2016.

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N, Tziavos Ilias, Vermeer Martin, and European Geophysical Society, eds. Recent advances in precise geoid determination methodology. Oxford: Pergamon, 1999.

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Determination of the Geoid: Present and Future. Springer, 2011.

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Ma, Wei-Ming. Local geoid determination using the Global Positioning System. 1988.

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Book chapters on the topic "Geoid determination"

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Wang, Yan Ming, Jianliang Huang, Tao Jiang, and Michael G. Sideris. "Local Geoid Determination." In Encyclopedia of Geodesy, 1–10. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02370-0_53-1.

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Jiang, Z. "Geoid determination in France." In International Association of Geodesy Symposia, 486–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03482-8_65.

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Sjöberg, Lars E., and Mohammad Bagherbandi. "Corrections in Geoid Determination." In Gravity Inversion and Integration, 149–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50298-4_5.

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Sideris, Michael G. "Geoid Determination, Computational Methods." In Encyclopedia of Solid Earth Geophysics, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_225-1.

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Sideris, Michael G. "Geoid Determination, Computational Methods." In Encyclopedia of Solid Earth Geophysics, 470–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_225.

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Kuhn, M. "Density Modelling for Geoid Determination." In Gravity, Geoid and Geodynamics 2000, 271–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04827-6_46.

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Sideris, Michael G. "Geoid Determination by FFT Techniques." In Lecture Notes in Earth System Sciences, 453–516. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-74700-0_10.

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Sideris, Michael G. "Geoid Determination, Theory and Principles." In Encyclopedia of Solid Earth Geophysics, 356–62. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-8702-7_154.

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Sideris, Michael G. "Geoid Determination, Theory and Principles." In Encyclopedia of Solid Earth Geophysics, 1–8. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10475-7_154-1.

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Sideris, Michael G. "Geoid Determination, Theory and Principles." In Encyclopedia of Solid Earth Geophysics, 476–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58631-7_154.

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Conference papers on the topic "Geoid determination"

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Patalov, Stoyan. "APPLICATION OF RADIAL BASIS FUNCTIONS IN LOCAL GEOID DETERMINATION." In 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sgem2020/2.2/s09.003.

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2

ELHassan, ELBrirchi. "Moroccan geoid determination from spatial gravity using recent GGM." In 2020 International conference of Moroccan Geomatics (Morgeo). IEEE, 2020. http://dx.doi.org/10.1109/morgeo49228.2020.9121900.

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3

dos Santos, Newton Pereira, and Iris Pereira Escobar. "Application of Voronoi and Delaunay Diagrams in Gravimetric Geoid Determination." In 2006 3rd International Symposium on Voronoi Diagrams in Science and Engineering. IEEE, 2006. http://dx.doi.org/10.1109/isvd.2006.11.

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4

Janpaule, Inese. "Application of KTH method for determination of latvian geoid model." In Proceedings of the International Conference „Innovative Materials, Structures and Technologies”. Riga: Riga Technical University, 2014. http://dx.doi.org/10.7250/iscconstrs.2014.11.

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Yada, Tatsuya, Tatsuo Nobe, and Masanari Ukai. "Application of KTH method for determination of latvian geoid model." In Advanced HVAC and Natural Gas Technologies. Riga: Riga Technical University, 2015. http://dx.doi.org/10.7250/rehvaconf.2015.011.

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6

Radwan, A. "Geoid Determination in the Western Part of Egypt from Gravity Data and Gps/Leveling." In 75th EAGE Conference and Exhibition - Workshops. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20131220.

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7

Radwan, A. "GEOID Determination in the Western Part of Egypt from Gravity Data and GPS/Leveling." In Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141965.

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8

Puškorius, Vytautas, Eimuntas Paršeliūnas, Petras Petroškevičius, and Romuald Obuchovski. "An Analysis of Choosing Gravity Anomalies for Solving Problems in Geodesy, Geophysics and Environmental Engineering." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.684.

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Abstract:
Gravity anomalies provide valuable information about the Earth‘s gravity field. They are used for solving various geophysical and geodetic tasks, mineral and oil exploration, geoid and quasi-geoid determination, geodynamic processes of Earth, determination of the orbits of various objects, moving in space around the Earth etc. The increasing accuracy of solving the above mentioned problems poses new requirements for the accuracy of the gravity anomalies. Increasing the accuracy of gravity anomalies can be achieved by gaining the accuracy of the gravimetric and geodetic measurements, and by improving the methodology of the anomalies detection. The modern gravimetric devices allow to measure the gravity with an accuracy of several microgals. Space geodetic systems allow to define the geodetic coordinates and ellipsoidal heights of gravimetric points within a centimeter accuracy. This opens up the new opportunities to calculate in practice both hybrid and pure gravity anomalies and to improve their accuracy. In this context, it is important to analyse the possibilities of detecting various gravity anomalies and to improve the methodology for detecting gravity anomalies. Also it is important the correct selection of the gravity anomalies for different geodetic, geophysical and environmental engineering tasks. The modern gravity field data of the territory of Lithuania are used for the research.
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9

Abdalla, Ahmed, and Chris Green. "GEOWARE: An optimised Matlab software for determination of high-frequency geoid model using relational operators." In 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE). IEEE, 2018. http://dx.doi.org/10.1109/iccceee.2018.8515881.

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10

Forsberg, Rene, A. Olesen, D. Munkhtsetseg, and B. Amarzaya. "Downward continuation and geoid determination in Mongolia from airborne and surface gravimetry and SRTM topography." In 2007 International Forum on Strategic Technology. IEEE, 2007. http://dx.doi.org/10.1109/ifost.2007.4798634.

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