Details
| Original language | English |
|---|---|
| Title of host publication | Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly |
| Pages | 363-369 |
| Number of pages | 7 |
| Publication status | Published - 1 Dec 2009 |
| Event | 24th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2007 - Perugia, Italy Duration: 2 Jul 2007 → 13 Jul 2007 |
Publication series
| Name | International Association of Geodesy Symposia |
|---|---|
| Volume | 133 |
| ISSN (Print) | 0939-9585 |
Abstract
Due to their outstanding accuracy and resolution, the innovative satellite gravity gradient (SGG) measurements from the European mission GOCE need dedicated calibration and validation procedures. It has been shown, that comparing the measurements in satellite track cross-overs offer an opportunity to get relative quality information, when applying a straight-forward reduction method. From SGG cross-over differences data sets, calibration parameters can be estimated. Here, the advantage of robust estimation methods over the standard least-squares approach for the analysis of short SGG cross-over data sets is shown. Simulated SGG data with different artificial trends are processed in different subsets. The least-squares approach is feasible to produce trend estimates from the cross-over differences of several days of measurements. Long-term trends can be estimated from cross-overs of a single revolution when applying robust estimation. Anticipating these estimation techniques, cross-over validation offers a fast approach to assess independently the quality of space gradiometry with focus on certain time intervals.
Keywords
- Calibration, Cross-overs, GOCE, Gravity gradiometry, Gravity satellite mission, Robust parameter estimation, Validation
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
- Earth and Planetary Sciences(all)
- Geophysics
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Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly. 2009. p. 363-369 (International Association of Geodesy Symposia; Vol. 133).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Robust Trend Estimation from GOCE SGG Satellite Track Cross-Over Differences
AU - Jarecki, F.
AU - Müller, J.
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Due to their outstanding accuracy and resolution, the innovative satellite gravity gradient (SGG) measurements from the European mission GOCE need dedicated calibration and validation procedures. It has been shown, that comparing the measurements in satellite track cross-overs offer an opportunity to get relative quality information, when applying a straight-forward reduction method. From SGG cross-over differences data sets, calibration parameters can be estimated. Here, the advantage of robust estimation methods over the standard least-squares approach for the analysis of short SGG cross-over data sets is shown. Simulated SGG data with different artificial trends are processed in different subsets. The least-squares approach is feasible to produce trend estimates from the cross-over differences of several days of measurements. Long-term trends can be estimated from cross-overs of a single revolution when applying robust estimation. Anticipating these estimation techniques, cross-over validation offers a fast approach to assess independently the quality of space gradiometry with focus on certain time intervals.
AB - Due to their outstanding accuracy and resolution, the innovative satellite gravity gradient (SGG) measurements from the European mission GOCE need dedicated calibration and validation procedures. It has been shown, that comparing the measurements in satellite track cross-overs offer an opportunity to get relative quality information, when applying a straight-forward reduction method. From SGG cross-over differences data sets, calibration parameters can be estimated. Here, the advantage of robust estimation methods over the standard least-squares approach for the analysis of short SGG cross-over data sets is shown. Simulated SGG data with different artificial trends are processed in different subsets. The least-squares approach is feasible to produce trend estimates from the cross-over differences of several days of measurements. Long-term trends can be estimated from cross-overs of a single revolution when applying robust estimation. Anticipating these estimation techniques, cross-over validation offers a fast approach to assess independently the quality of space gradiometry with focus on certain time intervals.
KW - Calibration
KW - Cross-overs
KW - GOCE
KW - Gravity gradiometry
KW - Gravity satellite mission
KW - Robust parameter estimation
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=80052649986&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85426-5_43
DO - 10.1007/978-3-540-85426-5_43
M3 - Conference contribution
AN - SCOPUS:80052649986
SN - 9783540854258
T3 - International Association of Geodesy Symposia
SP - 363
EP - 369
BT - Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly
T2 - 24th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2007
Y2 - 2 July 2007 through 13 July 2007
ER -