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ISPRS Int. J. Geo-Inf. 2015, 4(2), 928-941; doi:10.3390/ijgi4020928

Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images

1
Remote Sensing of Environmental Dynamics Laboratory, Department of Earth and Environmental Science (DISAT), University of Milano-Bicocca, Piazza della Scienza 1, Milano 20126, Italy
2
Remote Sensing Department-IREA-National Research Council (CNR), Via Bassini 15, Milano 20133, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 19 March 2015 / Revised: 20 May 2015 / Accepted: 21 May 2015 / Published: 1 June 2015
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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. View Full-Text
Keywords: asbestos cement; remote sensing; hyperspectral; urban monitoring; lichens; mosses; deterioration index; cadastre; MIVIS; SAM classification asbestos cement; remote sensing; hyperspectral; urban monitoring; lichens; mosses; deterioration index; cadastre; MIVIS; SAM classification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cilia, C.; Panigada, C.; Rossini, M.; Candiani, G.; Pepe, M.; Colombo, R. Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images. ISPRS Int. J. Geo-Inf. 2015, 4, 928-941.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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