Abstract
This study is concerned with the determination of a high resolution regional geoid in the area surrounding the Azores Islands, integrating multi-sensor airborne and marine observations with satellite derived and land gravity. It aims to prove the usefulness of airborne data in complementing existing marine and satellite derived gravity in coastal and insular regions, bridging the gap between land areas and the open ocean.
In the scope of the EU project AGMASCO (Airborne Geoid MApping System for Coastal Oceanography) several airborne gravimetric and altimetric campaigns have been performed. The new airborne and marine data used in this study have been collected in one of those campaigns, which took place in the Azores region, in October 1997. Profile and cross-over adjustments of the airborne to shipbome gravity suggest an accuracy of the airborne data of 4 to 5 mgal over wavelengths longer than 12 km.
Two geoid models have been computed using different data sets. The first was derived from all surface gravity (marine and land) merged with altimeter derived gravity anomalies. The second solution was computed from all previous data and airborne measured gravity. These solutions were called SURFACE and COMBINED respectively. Comparison of both solutions with the AZOMSS99 regional mean sea surface and with a set of GPSlevelling derived geoid undulations over the islands, shows that they agree very well. The difference between SURFACE and COMBINED solutions shows an average of 3 cm and a standard deviation of 4 cm. These results prove the ability of airborne data in complementing shipborne and satellite derived gravity for precise regional geoid determination.
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Fernandes, M.J., Bastos, L., Forsberg, R., Olesen, A., Leite, F. (2000). Geoid modelling in coastal regions using airborne and satellite data: Case study in the Azores. In: Schwarz, KP. (eds) Geodesy Beyond 2000. International Association of Geodesy Symposia, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59742-8_18
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DOI: https://doi.org/10.1007/978-3-642-59742-8_18
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