Advances in different non-destructive testing (NDT) have shown great utility, both regarding decision-making about the maintenance of the assets and controlling their state during the service life of each asset. NDT is a particularly effective method for obtaining information about the state of conservation of inner elements in a non-invasive and non-destructive way for the evaluation and monitoring of buildings and energy assets. NDT can also be applied to the measurement of the thermal state of buildings and energy installations, consequently allowing the determination of energy efficiency measurements and sustainable urban planning.

In recent years, there have been major advances in the development of new techniques for data analysis and decision-making procedures. Recent trends also show an increasing interest in combinations of NDT methods for high-resolution diagnosis to improve reliability and safety. The reliability of the results is enabling a more confident application of complementary NDT for the definition of key performance indicators (KPIs) in order to support maintenance decisions. In addition, the application of artificial intelligence (AI) to the processing of data acquired with NDT methods is also leading to great advancements in the usefulness of these techniques even with non-expert users. However, the development of these techniques and inspection procedures needs a comprehensive and up-to-date overview of the state-of-the-art research activities aiming to define capabilities and limitations.

This Special Issue is mainly dedicated to publishing high-quality research on the use and applications of non-destructive testing (NDT) methods for the assessment of buildings and energy assets. We aim to gather the experience of research communities in the latest advances and trends in NDT, and we welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Non-destructive testing of building assets and residential, industrial, and cultural heritage buildings
• Energy efficiency and zero-energy buildings
• Geophysics methods, such as ground-penetrating radar (GPR), seismic, or ultrasonics
• Infrared thermography (IRT) and hyperspectral imaging
• Interferometry, LiDAR, and photogrammetry
• New algorithms and artificial intelligence
• Building information modelling and digital twin and virtual reality