Abstract
This Chapter gives an overview of data processing methods used in measuring gravity anomalies on a moving base. Data processing and software of Russian mobile relative gravimeters Chekan and GT-2 are described. Information is given on optimal and suboptimal filtering and smoothing algorithms for estimation of gravity anomalies, and the methods used to identify the models needed for the algorithm design. The method of designing suboptimal smoothing algorithms with a constant delay is considered as applied to marine gravity measurements. Fusion of airborne gravimetric data and the global EGF models by multiscale representation of an anomalous gravity field using wavelet expansion on the sphere is addressed.
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Acknowledgements
The research activities described in Sections 2.1 and 2.3 were supported by the Russian Science Foundation (project № 18-19-00627, https://rscf.ru/project/18-19-00627/).
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Krasnov, A. et al. (2022). Data Processing Methods for Onboard Gravity Anomaly Measurements. In: Peshekhonov, V.G., Stepanov, O.A. (eds) Methods and Technologies for Measuring the Earth’s Gravity Field Parameters. Earth Systems Data and Models, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-031-11158-7_2
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