REMOTE SENSING AND CITY INFORMATION MODELING FOR REVEALING THE COMPLEXITY OF HISTORICAL CENTERS

Abstract

Historical centers represent the outcome of transformations and stratifications of the cities across the centuries. The knowledge of a historical urban environment requires an analytical methodology articulated on several interconnected levels of investigation to model a multi-layered complexity that encompasses the geometric and stylistic features of places (blocks irregularities, narrow streets, stratified buildings), the accessibility (pedestrial zone, no flyzone), the use of existing data (GIS, cartographies). Today the challenge for historical centers is dual: on the one side to make use of expeditious technologies to acquire data, on the other one to create 3D city models that allow to manage, visualize, enquire and use these data in a unique digital ecosystem. Our research deals with a multi-sensor data acquisition, evaluation and integration with the aim of creating informed and responsive 3D city models (CIM) that constitute a synthesis of the survey conducted and become the support for simulations in various contexts (seismic risk, hydraulic, energy performance).