Frassy Federico, Candiani Gabriele, Rusmini Marco, Maianti Pieralberto, Marchesi Andrea, Rota Nodari Francesco, Dalla Via Giorgio, Albonico Carlo, Gianinetto Marco
Laboratory of Remote Sensing (L@RS), Politecnico di Milano-Department of Architecture, Built Environment and Construction Engineering (ABC), Via Ponzio 31, Milano 20133, Italy.
Optical Remote Sensing Group, IREA-CNR, Via Bassini 15, Milano 20133, Italy.
Sensors (Basel). 2014 Aug 27;14(9):15900-13. doi: 10.3390/s140915900.
The World Health Organization estimates that 100 thousand people in the world die every year from asbestos-related cancers and more than 300 thousand European citizens are expected to die from asbestos-related mesothelioma by 2030. Both the European and the Italian legislations have banned the manufacture, importation, processing and distribution in commerce of asbestos-containing products and have recommended action plans for the safe removal of asbestos from public and private buildings. This paper describes the quantitative mapping of asbestos-cement covers over a large mountainous region of Italian Western Alps using the Multispectral Infrared and Visible Imaging Spectrometer sensor. A very large data set made up of 61 airborne transect strips covering 3263 km2 were processed to support the identification of buildings with asbestos-cement roofing, promoted by the Valle d'Aosta Autonomous Region with the support of the Regional Environmental Protection Agency. Results showed an overall mapping accuracy of 80%, in terms of asbestos-cement surface detected. The influence of topography on the classification's accuracy suggested that even in high relief landscapes, the spatial resolution of data is the major source of errors and the smaller asbestos-cement covers were not detected or misclassified.
世界卫生组织估计，全球每年有10万人死于与石棉相关的癌症，预计到2030年，超过30万欧洲公民将死于与石棉相关的间皮瘤。欧洲和意大利的立法都禁止含石棉产品的制造、进口、加工和商业销售，并推荐了从公共和私人建筑中安全清除石棉的行动计划。本文描述了使用多光谱红外和可见光成像光谱仪传感器，对意大利西阿尔卑斯山一个大型山区的石棉水泥覆盖物进行定量测绘的情况。由瓦莱达奥斯塔自治区在地区环境保护局的支持下推动，对一个由61条机载样带组成、覆盖面积达3263平方公里的非常大的数据集进行了处理，以支持识别带有石棉水泥屋顶的建筑物。结果显示，就检测到的石棉水泥表面而言，总体测绘精度为80%。地形对分类精度的影响表明，即使在地形起伏较大的地区，数据的空间分辨率也是误差的主要来源，较小的石棉水泥覆盖物未被检测到或被误分类。
