Integration of satellite geodetic observations for regional geoid modeling using remove-compute-restore technique

Advanced satellite geodetic systems have contributed to improving knowledge on changes in global gravity fields recent years. These offer profound opportunities the determination of a high-precision, high-resolution gravimetric geoid models data deficient regions. However, due absence research competence some regions, these conventional datasets not been implemented update obsolete reference frames which use This study introduces well-known Remove-Compute-Restore (RCR) technique modeling model for large region West Africa (Nigeria) using two sets long and short wavelength (a) EGM2008 (long) + Airborne observation (AGO) dataset (short) (b) Terrestrial undulation (TGU) (short). therefore resulted obtaining resultant RCR-gravimetric details whose statistics comparative assessments are produced body this work. The RCR-determined showed strong relationship with observed terrestrial data. goodness fit orthometric height correlation between computed is 97.87 %. Strong relationships other determined from primary also observed. difference Flury rummel geoid-based Heiskanen moritz geoid-quasi separation phase shows importance implementing ‘rigorous technique’ quasi-geoid instead approximation method. discrepancy both can be overlooked case low accuracy geoidal operations. RCR-based Fast Fourier Transform (FFT), least squares modified stokes (LSMS) was used region. Using 1-parameter fit, Stokes integral (FFT(b)) outperformed LSMS root mean square (rms) 0.6 cm, while unmodified (FFT(a)) 4-parameter rms 0.5 cm. created better perception differential analysis, more refined understanding their interaction based quasi geoid.