Abstract
This paper describes the methodologies implemented for evaluating the geometrical and
typological parameters of buildings in selected areas of Avellino (a seismic municipality in
Southern of Italy), using different data remotely acquired by means of aerospatial platforms
in order to support a suitably extensive estimation of seismic vulnerability at urban level. The
activities were based on integration of LIDAR data and GIS techniques for 3D modelling of
urban tissue in the selected test areas. These results were processed with those derived from
multi/hyper-spectral remote sensing techniques to achieve information about the structural
typology of each building by means of different “data mining” approaches.