Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images
Academic Article
Publication Date:
2015
abstract:
The aims of this study were: (i) the mapping of asbestos cement roofs in an
urban area; and (ii) the development of a spectral index related to the roof weathering
status. Aerial images were collected through the Multispectral Infrared and Visible
Imaging Spectrometer (MIVIS) sensor, which acquires data in 102 channels from the
visible to the thermal infrared spectral range. An image based supervised classification was
performed using the Spectral Angle Mapper (SAM) algorithm. The SAM was trained
through a set of pixels selected on roofs of different materials. The map showed an average
producer's accuracy (PA) of 86% and a user's accuracy (UA) of 89% for the asbestos
cement class. A novel spectral index, the "Index of Surface Deterioration" (ISD), was
defined based on measurements collected with a portable spectroradiometer on asbestos
cement roofs that were characterized by different weathering statuses. The ISD was then
calculated on the MIVIS images, allowing the distinction of two weathering classes (i.e.,
high and low). The asbestos cement map was handled in a Geographic Information System
(GIS) in order to supply the municipalities with the cadastral references of each property
having an asbestos cement roof. This tool can be purposed for municipalities as an aid to
prioritize asbestos removal, based on roof weathering status.
Iris type:
01.01 Articolo in rivista
Keywords:
asbestos cement; remote sensing; hyperspectral; urban monitoring; lichens; mosses; deterioration index; cadastre; MIVIS; SAM classification
List of contributors:
Pepe, MONICA PIERA LIVIA; Candiani, Gabriele
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