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Volume XLII-4/W9
Volume XLII-4/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 27–33, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-27-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 27–33, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-27-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Volume XLII-4/W9

  26 Oct 2018

26 Oct 2018

ESTABLISHMENT OF NEW FITTED GEOID MODEL IN UNIVERSITI TEKNOLOGI MALAYSIA

M. K. Ismail1, A. H. M. Din1,2,3, M. N. Uti1, and A. H. Omar1 M. K. Ismail et al.
  • 1Geomatics Innovation Research Group (GIRG), Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • 2Geoscience and Digital Earth Centre (INSTEG), Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • 3Associate Fellow, Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu, Kuala Terengganu, Terengganu, Malaysia

Keywords: MyGEOID, gravimetric geoid, fitted geoid

Abstract. The purpose of this study is to produce fitted geoid for Universiti Teknologi Malaysia (UTM), Johor Bahru by using precise levelling and 3D GNSS control network technique. This study focuses on the theory, computation method and analysis of fitted geoid around Universiti Teknologi Malaysia. The computation of accuracy fitted geoid model is based on the GNSS levelling and Precise Levelling. The achieved accuracy of UTM Fitted Geoid Model is at 8 mm. In conclusion, this research can contribute to Universiti Teknologi Malaysia by providing good UTM fitted geoid model that can give better accuracy for various purposes of work related to surveying and mapping.

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How to cite: Ismail, M. K., Din, A. H. M., Uti, M. N., and Omar, A. H.: ESTABLISHMENT OF NEW FITTED GEOID MODEL IN UNIVERSITI TEKNOLOGI MALAYSIA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 27–33, https://doi.org/10.5194/isprs-archives-XLII-4-W9-27-2018, 2018.