- Published 1997

Satellite gradiometry and its instrumentation is an ultra-sensitive detection technique of the space gravitational gradient (i.e. the Hesse tensor of the gravitational potential). Gradiometry will be of great signiicance in inertial navigation, gravity survey, geodynamics and earthquake prediction research. In this paper, satellite gradiometry formulated as an inverse problem of satellite geodesy is discussed from two mathematical aspects: Firstly, satellite gradiometry is considered as a continuous problem of "harmonic downward continuation". The space-borne gravity gradients are assumed to be known continuously over the "satellite (orbit) surface". Our purpose is to specify suucient conditions under which uniqueness and existence can be guaranteed. It is shown that, in a spherical context, uniqueness results are obtainable by decomposition of the Hesse matrix in terms of tensor spherical harmonics. In particular, the gravitational potential is proved to be uniquely determined if second order radial derivatives are prescribed at satellite height. This information leads us to a reformulation of satellite gradiometry as a (Fredholm) pseudodiierential equation of rst kind. Secondly, for a numerical realization, we assume the gravita-tional gradients to be known for a nite number of discrete points. The discrete problem is dealt with classical regularization methods, based on ltering techniques by means of spherical wavelets. A spherical singular integral-like approach to regularization methods is established, regularization wavelets are developed which allow the regularization in form of a multiresolution analysis. Moreover, a combined spherical harmonic and spherical regularization wavelet solution is derived as an appropriate tool in future (global and local) high-precision resolution of the earth's gravitational potential.

@inproceedings{Freeden1997GradiometryA,
title={Gradiometry \{ an Inverse Problem in Modern Satellite Geodesy},
author={W. Freeden and Frank E. Schneider and Michael Schreiner},
year={1997}
}