Multiscale Data Acquisition of Historic Centers: A Hierarchical Approach for Enhancing Urban Conservation and Planning

This study explores the implications of multiscale data acquisition within historic centers, proposing a survey protocol that integrates a hierarchical approach across three distinct scales—urban/territorial, district, and building—in order to optimize the accuracy and efficiency of the analysis of historic urban environments. Each scale serves a specific purpose and yields varying levels of data detail, which are crucial for informed urban planning and conservation strategies. The research is conducted within the framework of the GENESIS project, “Seismic risk management for the touristic valorization of the historical centers of Southern Italy” (PON MIUR “Research and Innovation” 2014–2020 and FSC. D.D. 13 July 2017 n. 1735). It aims at acquiring extensive datasets with different levels of accuracy, addressing the computational challenges associated with processing and analyzing multiscale data. The study highlights the distinct computational demands required for urban- and district-scale data compared to detail-scale data. Urban-scale data, which encompasses broader architectural and urban contexts, demands algorithms capable of handling extensive datasets with varying resolutions and formats. In contrast, detail-scale data, which focuses on individual architectural elements, requires high-resolution processing to capture fine details and textures essential for conservation purposes. This multiscale approach not only enhances the overall understanding of the cultural and architectural heritage of the investigated area but also allows for tailored conservation efforts based on the specific needs and characteristics identified at each level of analysis.