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This study investigated a nondestructive, remote-sensing-based testing method for detecting harmful wetness in immovable cultural heritage structures using unmanned aerial vehicle multispectral imagery combined with machine learning algorithms. The multispectral data were captured over a historic building with DJI Mavic 3M UAV, and supervised machine learning classifiers were applied to identify moisture-risk areas across the building’s facades. The spectral range of the employed multispectral sensor did not all...