The protection of traditional villages is crucial for preserving rural memory, safeguarding rural ecology, expanding agricultural forms, and achieving rural revitalization. In this study, we primarily utilized real-scene 3D data, along with big data analysis, remote sensing interpretation, and other technical methods, to construct application models based on real-scene 3D data analysis. These models are used to analyze the natural resource baseline, construction land indicators, landscape monitoring, and height control of traditional villages. We quickly assessed the damage to traditional villages caused by the “23.7” extraordinary heavy rainfall and flood disaster. We comprehensively considered factors such as topography, geological disaster prevention, catchment area, and flood passage to identify the reasons for minimal damage to traditional villages. The findings suggest that planners should use watershed and catchment areas as units for integrated coordination, emphasizing and strengthening the functional positioning of traditional villages. Postdisaster reconstruction can draw on the advanced experiences of traditional villages in site selection, flood control, drainage, and housing construction.