Artificial Intelligence for the Detection of Asbestos Cement Roofing: An Investigation of Multi-Spectral Satellite Imagery and High-Resolution Aerial Imagery

Artificial Intelligence (AI) is providing the technology for large-scale, cost-effective and current asbestos-containing material (ACM) roofing detection. AI models can provide additional data to monitor, manage plan ACM in situ its safe removal disposal, compared with traditional approaches alone. Advances are being made algorithms imagery applied This study applies mask region-based convolution neural networks (Mask R-CNN) multi-spectral satellite (MSSI) high-resolution aerial (HRAI) detect presence of on residential buildings across an Australian case area. The results insights into challenges benefits using different imageries detection, future directions practical application. found model 1, HRAI 460 training samples, was more reliable three a precision 94%. These findings confirm efficacy combining advanced techniques remote sensing imagery, specifically Mask R-CNN HRAI, Such combinations efficient methods large-scale detection roofing, improving coverage currency implementation coordinated management policies built environment.