| Title | On the estimation of the regional goeid error in Canada |
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| Author | Huang, J ;
Veronneau, M; Fotopolous, G; Cheng, M K; Sideris, M G |
| Source | 2005 IAG/IAPSO/IABO Joint Assembly, Abstracts to poster presentations; 2007. |
| Year | 2007 |
| Alt Series | Earth Sciences Sector, Contribution Series 2005427 |
| Meeting | Dynamic Planet 2005, IAG/IAPSO/IABO Joint Assembly; Cairns; AU; August 22-26, 2005 |
| Document | computer file |
| Lang. | English |
| Media | on-line; digital |
| Subjects | geophysics; remote sensing; gravity interpretations; gravity; gravity anomalies |
| Program | Canadian Geodetic Service |
| Released | 2007 01 01 |
| Abstract | With the increased use of GPS-based positioning, the demand for directly converting ellipsoidal heights to a height referred to a regional vertical datum with sufficient accuracy is also increasing. In
Canada, the use of a gravimetric geoid as the national height reference surface has been under study. The recent revolutionary development of space gravimetry (i.e. CHAMP, GRACE and the upcoming GOCE mission) offers the opportunity to pursue such a
drastic change in the local vertical datum. Among others, a compulsory requirement of adopting a vertical datum based on a gravimetric geoid, rather than conventional levelling networks, is a reliable assessment of the systematic and stochastic
errors. This is a challenging task as there is limited or poor information regarding the quality of the terrestrial gravity data, difficulty in quantifying the gravity reduction and interpolation error, as well as only approximate estimates of the
error associated with the satellite model. The purpose of this paper is twofold, namely (i) to provide a detailed examination of all sources of the gravimetric geoid error in Canada (e.g., satellite gravity model, terrestrial gravity data, gravity
reduction methods, Stokes integration error and the far-zone contribution error), and (ii) to assess an adequate method for the estimation of the gravimetric geoid error from these error sources. In particular the variance component estimation
schemes MINQUE and AUE are implemented to validate/calibrate the geoid error using existing GPS-levelling data. |
| GEOSCAN ID | 221347 |
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