Abstract

Abstract. The documentation of historical architectural heritage in urban contexts involves the consideration of planning adaptations of settlements and landscape, related to the identification of formal and semantic qualities. In particular, the identification of cultural significance of Heritage building units can find correspondence in geometrical features that are documented within the urban asset. In this way, urban monitoring, in an increasingly automated way, can support the identification and characterization of semantic elements also regarding Heritage objects, observing the invariance and conservation of formal constants in urban dynamic assets.Considering the experimental case study of Solikamsk historical center, belonging to Upper Kama route (Russia), a multi-instrumental strategy of spatial survey is applied, evaluating data coverages and resolutions. This analysis defines a preliminary framework to develop further processes of 3D triangulation and reality-based meshing. The morpho-metric detail of final models constitutes the basis for the computing test of feature-based procedures, including regions recognition and mesh segmentation, which can be calibrated for shape qualities and scales, reaching a preliminary modeling classification of Heritage and urban building units.

Highlights

  • 1.1 Spatial documentation concerning Heritage assetsThe topic of documenting historical Built Heritage involves, in a common percentage of cases, the location of the site in an urban surrounding context, usually shaped as a historic centre or a densely built area

  • As the interpretation of urban landscape from spatial survey becomes central to describe the dynamics of transformation of the city and its Heritage objects, the integration of multi-source survey data is evaluated to produce an integrated and reliable 3D database

  • The same scale of segmentation has been obtained from TLS datasets, while the computation failed on MLS data due to the un-optimized quality of the mesh and the high presence of non-manifold poly-groups. (Fig.8)

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Summary

Spatial documentation concerning Heritage assets

The topic of documenting historical Built Heritage involves, in a common percentage of cases, the location of the site in an urban surrounding context, usually shaped as a historic centre or a densely built area. Geometrical proportions, and shape resolutions can be quantified differently between the Heritage objects and Urban units, conceiving a different qualification of territorial mapping results In this way, the monitoring of heritage features within the urban ones (built volumes, typological characters, landscape systems), in an increasingly automated way, can support the identification and enhancement of historical heritage, classifying and observing its constants in the overall system of urban transformations. The recent research on the topics of digitization & information in urban contexts (Schrotter & Hürzeler, 2020) is increasingly directing the purposes of spatial survey on the identification of sectoral qualities, moving from environmental to historicalcultural ones (Parrinello et al, 2020) Their attribution considers the analysis of transversal features that, in the cultural or architectural field, can support the interpretation of landscapes and heritage objects, as geometrical and morphometric characters connected to historical phases (Balzani, 2017). The intelligent processing of spatial data can be set on appropriate levels of knowledge and perception of heritage and urban features characterizing historic centers, as a pre-required basis for heritage monitoring at the urban scale, and to foresee the development of information systems (GIS, BIM, CIM) on the city and its Cultural Heritage (La Russa et al, 2021)

DIGITAL METHODS OF SPATIAL SURVEY AND ANALYSIS OF DATA RESOLUTION
On-site campaigns: instrumental applications and acquisition strategy
Reference and reliability of survey data
Data analysis and critical report
Final results
Meshing pipeline and optimization processing
Feature-based calibration and automation
CONCLUSIONS
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