Gravity anomaly estimation by airborne gravimetry data using LSE and minimax optimization and spherical wavelet expansion

The paper focuses on the problem of gravity anomaly determination by airborne gravimetry data. To solve the problem, nonlocal information on the Earth gravity field is needed, usually provided by one of the Earth’s global gravity field models. The possibility of using spherical wavelet expansion for combining airborne gravimetry and global data is studied. Combination algorithms based on optimal estimation methods are developed and tested using Arctic airborne gravity survey data and EGM2008 global model.