HIGHLIGHTS
- who: Marilena Cozzolino and collaborators from the Department of Agricultural, Environmental and Food Sciences, University of Molise, Via De Sanctis, Campobasso, Italy have published the research: Principles of a Fast Probability-Based, Data-Adaptive Gravity Inversion Method for 3D Mass Density Modelling, in the Journal: Geosciences 2022, 12, x FOR PEER REVIEW of /2022/
- what: The aim of this paper is to present a 3D Probability-based Earth Density Tomography Inversion (PEDTI) method derived from the principles of the Gravity Probability Tomography (GPT). In this paper after recalling the GPT imaging method the PEDTI theory . . .
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