Robust Trend Estimation from GOCE SGG Satellite Track Cross-Over Differences

authored by: F. Jarecki, J. Müller
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.
Organisation(s): Institute of Geodesy
Type: Conference contribution
Pages: 363-369
No. of pages: 7
Publication date: 01.12.2009
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computers in Earth Sciences, Geophysics
Electronic version(s): https://doi.org/10.1007/978-3-540-85426-5_43 (Access: Unknown)
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{79f5a1e9c3654f44b4a51813b9e2b846,
title = "Robust Trend Estimation from GOCE SGG Satellite Track Cross-Over Differences",
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",
author = "F. Jarecki and J. M{\"u}ller",
year = "2009",
month = dec,
day = "1",
doi = "10.1007/978-3-540-85426-5_43",
language = "English",
isbn = "9783540854258",
series = "International Association of Geodesy Symposia",
pages = "363--369",
booktitle = "Observing our Changing Earth - Proceedings of the 2007 IAG General Assembly",
note = "24th General Assembly of the International Union of Geodesy and Geophysics, IUGG 2007 ; Conference date: 02-07-2007 Through 13-07-2007",
}