Remote sensing for asbestos roofing mapping: Mantua case study using WorldView-3 images

A high-accuracy remote sensing method for identifying asbestos-containing cement (AC) roofs was developed, achieving 87% precision using the Maximum Likelihood classifier with WorldView-3 satellite imagery. This study, conducted in Mantua, Italy, demonstrates that multispectral imaging combined with advanced algorithms can effectively map AC roofing—a common and hazardous material—enabling targeted interventions for safe removal. The research compared two classification techniques, finding that while the Spectral Angle Mapper performed less accurately (62%), it remains a viable alternative for broader applications. This approach offers a scalable solution for global asbestos management efforts, supporting legislative actions aimed at mitigating health risks from exposure.

Bellagamba, S., Malinconico, S., Paglietti, F., Bonifazi, G., Serranti, S., & Aurigemma, A. (2026). Remote sensing for asbestos roofing mapping: Mantua case study using WorldView-3 images. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 348, 127160. https://doi.org/10.1016/j.saa.2025.127160