This book presents a novel methodology for regional gravity field modeling using airborne gravimetry data. The author details a new approach that integrates several pre-processing steps, including filtering, gridding, and adjustment of cross-over misfits, with the parameter estimation process for inverting observations into gravity functionals at geoid level. This work aims to refine the accuracy and efficiency of gravity field modeling, crucial for applications in geodesy and geophysics.

The methodology presented in this work offers a refined approach to gravity field modeling, integrating essential pre-processing steps with parameter estimation. The focus on airborne gravimetry data suggests a specialized contribution to the field of geophysics and geodesy. The detailed description of the inversion process indicates a text aimed at researchers and practitioners seeking advanced techniques for analyzing gravitational data. The integration of filtering, gridding, and misfit adjustment points to a comprehensive treatment of the subject matter.