A sensitivity analysis in spectral gravity field modeling using systems theory

dc.contributor.author	Ανδριτσάνος, Βασίλειος Δ.	el
dc.contributor.author	Τζιάβος, Ηλίας Ν.	el
dc.date.accessioned	2015-06-04T18:37:19Z
dc.date.available	2015-06-04T18:37:19Z
dc.date.issued	2015-06-04
dc.identifier.uri	http://hdl.handle.net/11400/15116
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/bookseries/1345	en
dc.subject	Geodesy
dc.subject	Environmental Physics
dc.subject	Geoengineering
dc.subject	Foundations
dc.subject	Earth sciences
dc.subject	Γεωδαισία
dc.subject	Περιβαλλοντική φυσική
dc.subject	Γεωμηχανική
dc.subject	Ιδρύματα
dc.subject	Επιστήμες της γης
dc.title	A sensitivity analysis in spectral gravity field modeling using systems theory	en
heal.type	bookChapter
heal.classification	Physics
heal.classification	Geophysics
heal.classification	Φυσική
heal.classification	Γεωφυσική
heal.classificationURI	http://skos.um.es/unescothes/C02994
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85054185
heal.classificationURI	N/A-Φυσική
heal.classificationURI	N/A-Γεωφυσική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85053969
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85040468
heal.identifier.secondary	DOI: 10.1007/978-3-642-20338-1_49
heal.language	en
heal.access	campus
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Πολιτικών Μηχανικών Τ.Ε. και Μηχανικών Τοπογραφίας και Γεωπληροφορικής Τ.Ε.. Κατεύθυνση Μηχανικών Τοπογραφίας & Γεωπληροφορικής Τ.Ε.	el
heal.publicationDate	2012
heal.bibliographicCitation	Andritsanos, V. and Tziavos, I. (2012) A sensitivity analysis in spectral gravity field modeling using systems theory. In: Kanyon, S., Pacino, M. and Marti, U. (eds) (2012) "Geodesy for Planet Earth: Proceedings of the 2009 IAG Symposium, Buenos Aires, Argentina, 31 August 31 - 4 September 2009". Berlin: Springer Berlin Heidelberg, p. 411 - 418. Available from: http://link.springer.com/chapter/10.1007%2F978-3-642-20338-1_49 [Accessed: 04/06/2015]	en
heal.abstract	The Input–Output System Theory (IOST) method is primarily based on the spectral combination of heterogeneous data taking into account their statistical properties and approximating the Power Spectral Density (PSD) functions of the signals and their errors. In this study a Multiple Input–Multiple Output System (MIMOS) is proposed, where the input measurements as well as the input and output signals are different gravity field observables. The work presents a sensitivity analysis of the IOST method towards the input data noise and the effect of integral kernel modifications to the error prediction estimates. Simulated input noise fields along with the contribution of the input data resolution to the output prediction errors are investigated towards the analysis of the 2D error covariance functions. Special attention is paid to the contribution of different kernels to the error prediction estimates and 2D planar and spherical discrete kernels are tested considering the overall prediction improvement of the spectral procedure. The MIMOS system is finally assessed by a number of numerical tests and conclusions are drawn in terms of the optimal modelling of the input data noise and the significance of the spherical kernels in the improvement of the prediction results.	en
heal.publisher	Rizos, Chris	en
heal.fullTextAvailability	true
heal.bookName	Proceedings of the 2009 IAG Symposium, Buenos Aires, Argentina, 31 August 31 - 4 September 2009	en