Optimizing the Integration of Gravity Data Inputs for Geoid Modelling over Peninsular Malaysia

• Published in: 2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings
• Main Author: Zamri A.N.M.; Pa'suya M.F.; Din A.H.M.; Samad A.M.; Azmin N.S.H.N.; Othman N.A.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193955123&doi=10.1109%2fCSPA60979.2024.10525293&partnerID=40&md5=8ff7f781cdc8dc69cc0edbccd43e2b93

Accurate geoid modelling is essential for precise geodetic computation and geophysical applications used. Gravity data consist of terrestrial, airborne, and satellite-derived gravity are the primary data used in geoid model computation. However, each component of gravity data exhibits varying degrees of accuracy and density. Thus, this study aims to investigate the effect of different combination of gravity data input to the accuracy of geoid model over Peninsular Malaysia. In this study, three gravimetric geoid models have been computed by employing different combination of gravity data using KTH method. Geoid 1 incorporates marine, terrestrial, and airborne; Geoid 2 integrates marine with terrestrial and Geoid 3 combines marine with airborne gravity data. Prior to geoid modelling, a comprehensive data consisting of 24855 airborne gravity, 9915 terrestrial gravity, and 175193 satellite altimetry-derived gravity anomalies have been combined and gridded using 3D Least Square Collocation technique. The models have been evaluated using 45 GNSS levelling points to access their performance and the results of standard deviation for Geoid 1 and Geoid 2 is identical which is 0.043 m while Geoid 3 is 0.048 m. © 2024 IEEE.