Dataset for "Non-Destructive Estimation of Water Content Using Moore-Penrose Pseudoinverse Inversion of Microwave Data" by Yousefi et al.

This repository contains the dataset and Python code used to compute and visualize water content distribution maps in a masonry structure based on microwave moisture measurements. The notebook processes the acquired moisture dataset and generates apparent and inverted moisture distribution maps at different depths. This repository was used in the framework of the paper "Non-Destructive Estimation of Water Content Using Moore-Penrose Pseudoinverse Inversion of Microwave Data" by Yousefi M, Innocenti A, Marchetti E, Fanti R, Pazzi V.