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dc.contributor.authorKalu, Ikechukwu
dc.contributor.authorNdehedehe, Christopher
dc.contributor.authorOkwuashi, Onuwa
dc.contributor.authorEyoh, Aniekan
dc.date.accessioned2021-11-08T02:35:30Z
dc.date.available2021-11-08T02:35:30Z
dc.date.issued2021
dc.identifier.issn1865-0473en_US
dc.identifier.doi10.1007/s12145-021-00716-0en_US
dc.identifier.urihttp://hdl.handle.net/10072/409921
dc.description.abstractAdvanced satellite geodetic systems have contributed to improving knowledge on changes in global gravity fields in recent years. These systems offer profound opportunities in the determination of a high-precision, high-resolution gravimetric geoid models in data deficient regions. However, due to the absence of research competence in some regions, these conventional datasets have not been implemented to update the obsolete reference frames which have been in use in these regions. This study introduces the well-known Remove-Compute-Restore (RCR) technique in modeling a gravimetric geoid model for a large data deficient region in West Africa (Nigeria) using two sets of long and short wavelength data (a) EGM2008 (long) + Airborne gravimetric observation (AGO) dataset (short) (b) EGM2008 (long) + Terrestrial gravimetric undulation (TGU) dataset (short). This therefore resulted in obtaining two sets of resultant RCR-gravimetric details whose statistics comparative assessments are produced in the body of this work. The RCR-determined gravimetric geoid model showed a strong relationship with the observed terrestrial data. The goodness of fit for the orthometric height correlation between the computed gravimetric geoid and the terrestrial data is 97.87 %. Strong relationships between the computed model and the other height models determined from the primary data are also observed. The difference between the Flury and rummel geoid-based model and the Heiskanen and moritz model in the geoid-quasi geoid separation phase shows the importance of implementing the ‘rigorous modeling technique’ for geoid quasi-geoid separation instead of the approximation method. However, the discrepancy between both models can be overlooked in a case of low accuracy geoidal operations. The RCR-based Fast Fourier Transform (FFT), and the least squares modified stokes (LSMS) was used in the quasi-geoid determination of the study region. Using the 1-parameter fit, the modified Stokes integral (FFT(b)) outperformed the LSMS model with a root mean square (rms) difference of 0.6 cm, while the LSMS outperformed both the unmodified (FFT(a)) and the modified (FFT(b)) Stokes integral using the 4-parameter fit with a rms difference of 0.5 cm. The use of both models in this study created a better perception of the quasi-geoid differential analysis, and a more refined understanding of their interaction with the satellite based quasi geoid.en_US
dc.description.peerreviewedYesen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofjournalEarth Science Informaticsen_US
dc.subject.fieldofresearchGlobal and planetary environmental engineeringen_US
dc.subject.fieldofresearchGeomatic engineeringen_US
dc.subject.fieldofresearchPhotogrammetry and remote sensingen_US
dc.subject.fieldofresearchGeomatic engineering not elsewhere classifieden_US
dc.subject.fieldofresearchSpatial data and applicationsen_US
dc.subject.fieldofresearchComputational statisticsen_US
dc.subject.fieldofresearchcode401103en_US
dc.subject.fieldofresearchcode4013en_US
dc.subject.fieldofresearchcode401304en_US
dc.subject.fieldofresearchcode401399en_US
dc.subject.fieldofresearchcode460106en_US
dc.subject.fieldofresearchcode490503en_US
dc.titleIntegration of satellite geodetic observations for regional geoid modeling using remove‑compute‑restore techniqueen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationKalu, I; Ndehedehe, C; Okwuashi, O; Eyoh, A, Integration of satellite geodetic observations for regional geoid modeling using remove‑compute‑restore technique, Earth Science Informatics, 2021en_US
dc.date.updated2021-10-31T12:24:54Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.en_US
gro.rights.copyright© 2021 Springer. This is an electronic version of an article published in Earth Science Informatics, 2021. Earth Science Informatics is available online at: http://link.springer.com/ with the open URL of your article.en_US
gro.hasfulltextFull Text
gro.griffith.authorNdehedehe, Christopher E.


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