Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly |
Seiten | 363-369 |
Seitenumfang | 7 |
Publikationsstatus | Veröffentlicht - 1 Dez. 2009 |
Veranstaltung | 24th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2007 - Perugia, Italien Dauer: 2 Juli 2007 → 13 Juli 2007 |
Publikationsreihe
Name | International Association of Geodesy Symposia |
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Band | 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.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Computer in den Geowissenschaften
- Erdkunde und Planetologie (insg.)
- Geophysik
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Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly. 2009. S. 363-369 (International Association of Geodesy Symposia; Band 133).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › 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 -