Publications related to the GRACE Missions (no abstracts)

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Gravity Anomaly Assessment Using Ggms and Airborne Gravity Data Towards Bathymetry Estimation

Tugi, A., Din, A. H. M., Omar, K. M., Mardi, A. S., Som, Z. A. M., Omar, A. H., Yahaya, N. A. Z., and Yazid, N., 2016. Gravity Anomaly Assessment Using Ggms and Airborne Gravity Data Towards Bathymetry Estimation. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 62W1:287–297, doi:10.5194/isprs-archives-XLII-4-W1-287-2016.

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@ARTICLE{2016ISPAr62W1..287T,
       author = {{Tugi}, A. and {Din}, A.~H.~M. and {Omar}, K.~M. and {Mardi}, A.~S. and {Som}, Z.~A.~M. and {Omar}, A.~H. and {Yahaya}, N.~A.~Z. and {Yazid}, N.},
        title = "{Gravity Anomaly Assessment Using Ggms and Airborne Gravity Data Towards Bathymetry Estimation}",
      journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
         year = 2016,
        month = sep,
       volume = {62W1},
        pages = {287-297},
     abstract = "{The Earth's potential information is important for exploration of the
        Earth's gravity field. The techniques of measuring the Earth's
        gravity using the terrestrial and ship borne technique are time
        consuming and have limitation on the vast area. With the space-
        based measuring technique, these limitations can be overcome.
        The satellite gravity missions such as Challenging Mini-
        satellite Payload (CHAMP), Gravity Recovery and Climate
        Experiment (GRACE), and Gravity-Field and Steady-State Ocean
        Circulation Explorer Mission (GOCE) has introduced a better way
        in providing the information on the Earth's gravity field. From
        these satellite gravity missions, the Global Geopotential Models
        (GGMs) has been produced from the spherical harmonics
        coefficient data type. The information of the gravity anomaly
        can be used to predict the bathymetry because the gravity
        anomaly and bathymetry have relationships between each other.
        There are many GGMs that have been published and each of the
        models gives a different value of the Earth's gravity field
        information. Therefore, this study is conducted to assess the
        most reliable GGM for the Malaysian Seas. This study covered the
        area of the marine area on the South China Sea at Sabah extent.
        Seven GGMs have been selected from the three satellite gravity
        missions. The gravity anomalies derived from the GGMs are
        compared with the airborne gravity anomaly, in order to figure
        out the correlation (R$^{2}$) and the root mean square error
        (RMSE) of the data. From these assessments, the most suitable
        GGMs for the study area is GOCE model, GO\_CONS\_GCF\_2\_TIMR4
        with the R$^{2}$ and RMSE value of 0.7899 and 9.886 mGal,
        respectively. This selected model will be used in the estimating
        the bathymetry for Malaysian Seas in future.}",
          doi = {10.5194/isprs-archives-XLII-4-W1-287-2016},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2016ISPAr62W1..287T},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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