Multi-Data Integration in Near-Surface Geophysics and Close Range Remote Sensing Applied to Cultural Heritage

Dear Colleagues,

In the last decade, data coming from near-surface geophysics and close-range remote sensing have become fundamental instruments in the field of cultural heritage (CH). In fact, in the literature, it is possible to find different types of study cases and approaches ranging from the detection of archaeological proxy indicators to automatic pattern extraction for applications in diverse cultural heritage assets and features, including historical masonry structures, architectural surfaces and frescoes.

However, even though data integration is a well-established practice for remote sensing applied to CH, concerning near-surface geophysics and close-range remote sensing, this integration often still remains at a basic level, involving just pixel-by-pixel composition or basic analysis.

Nevertheless, today, the analytical toolkits available (from spatial to intelligent analysis) can lead to a deeper and effective multi-data integration, able to improve results and create more effective methods in the application field of cultural heritage

In this Special Issue, contributions presenting relevant analytical approaches for multi-data integration in near-surface geophysics and close-range remote sensing (spatial analysis, spatial autocorrelation application, machine learning, deep learning, cellular automata, and agent-based approaches) in the field of cultural heritage are welcome.

Authors are invited to submit:

• papers showing new or consolidated types of advanced analytical data integration for the different types of cultural heritage;
• reviews of the limitations and advantages of the existing methods in this relevant research field.

Dr. Maria Danese
Prof. Dr. Nicola Masini
Guest Editors

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