EngineeringEnvironmental ScienceComputer Science

R. Brumana, S. D. Torre, M. Previtali, L. Barazzetti, L. Cantini, D. Oreni, F. Banfi, F. Banfi

2018.7.24Applied Geomatics

DOI: 10.1007/s12518-018-0233-3

tlooto Summary

This paper tries to make a synthesis of the different lessons learnt in relation to both positive and critical aspects relating HBIM feasibility, sustainability and usefulness to the challenging restoration and preservation field.

Abstract

Abstract is not available.

Citation format

BRUMANA, R., et al. Generative HBIM modelling to embody complexity (LOD, LOG, LOA, LOI): Surveying, preservation, site intervention—the basilica di collemaggio (l’aquila). Applied Geomatics, 2018, 10: 545–567.