Methodologies to identify asbestos-cement roofing by remote data

Asbestos is a particularly serious environmental problem because of multiple harmful effects on human health. In Italy, law n.257/92 has banned all products containing asbestos and has provided by census regions where buildings were present. The objective of this study is to develop a quickly and reliable technique to detect, identify and map asbestos-cement roofing by MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) hyperspectral data. MIVIS images have been processed by Minimum Noise Fraction (MNF), Mixture Tuned Matched Filtering (MTMF) techniques and classified by Spectral Angle Mapper (SAM) algorithm. This study has been carried out in an area of Reggio Calabria province (southern Italy).