Abstract
Satellite altimetry has proven to be a useful tool to measure sea surface height, which is of diverse applications in oceanography, geodesy, among others. However, the precision of satellite altimetry data is different between missions and areas. This article evaluates the precision of observed data received by two satellite altimeters of SARAL/AltiKa and Sentinel-3A in the Exact Repeat Mission mode over the Vietnam Sea and its surroundings. The precision of the data is assessed based on height differences at intersection points between ascending and descending tracks. First, the positions of each intersection point between the ascending and descending tracks are interpolated from measure points with the second-order polynomial model. Then, the standard deviation of the height difference is estimated from all intersection points for each of 34 repeat cycles (SARAL/AltiKa) and 28 repeat cycles (Sentinel-3A) over the study area. The results show that the standard deviations of the SARAL/AltiKa data are between ± 4.5 cm and ± 7.5 cm, with an average of ± 5.9 cm, while those of Sentinel-3A range from ± 4.4 cm to ± 7.7 cm, with an average of ± 5.9 cm. Of both datasets, the height differences are greater at points located close to the coastlines and islands.
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Acknowledgements
This research has been supported by the project “Research on determining seafloor depth for the East Sea using gravity anomaly data”, code B2021-MDA-06 of the Vietnam Ministry of Education and Training and the project "Research to determine surface currents in the East Sea using satellite altimeter data", code 07/2021/Đ6-DATS of Vietnam's People Naval Hydrographic and Oceanographic Department. We would also like to thank Radar Altimeter Database System for providing satellite altimeter data used in this study.
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Van Mong, D., Van Sang, N., Van Long, K., Bui, L.K. (2023). Evaluation of the Precision of SARAL/AltiKa and Sentinel-3A Satellite Altimetry Data Over the Vietnam Sea and Its Surroundings. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-20463-0_8
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