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      Assessment of asbestos-cement roof distribution and prioritized intervention approaches through hyperspectral imaging

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          Abstract

          The discernment of asbestos-cement (AC) roofs within urban areas stands as a pivotal concern pertinent to communal well-being and ecological oversight, particularly in emerging nations where asbestos continues to be extensively employed. Conventional methodologies entailing the recognition of asbestos-cement roofs and the characterization of their degradation status, such as tangible examinations and laboratory assays, prove to be temporally protracted, financially demanding, and arduous to extrapolate comprehensively across expansive urban domains. In this paper, it is presented a novel approach for identifying asbestos-cement roofs in urban areas using hyperspectral airborne acquisition and carry out a diagnosis that allows to identify the state of asbestos-cement roofs and thus provide a tool for the competent authorities to develop and prioritize intervention strategies to mitigate the problem. Four different methodologies were implemented and compared, three of which are new in the literature, to identify the deterioration of asbestos-cement (AC) roof state in large urban areas. This, in turn, furnishes a tool for competent authorities to identify the state of AC roofs, develop and prioritize intervention strategies to mitigate the problem.

          The control points in field allowed validating the classification and the proposed methodology for the prioritization of intervention in AC roofs. Some neighborhoods in the city showed peaks in the area of asbestos-cement roofs of 47% of the total area of the neighborhood, representing practically all of the roofs present in the neighborhood. On average around 20% of the total area of a neighborhood in Cartagena is covered by AC. Furthermore, it was found a total area of AC roofs throughout the city of more than 9 km 2 (9 million square meters). On the other hand, two of the 4 methods used showed encouraging results that demonstrate their ability to identify covers in poor and good condition at a large scale from hyperspectral images. This academic novelty suggests that there is a possibility of practical application of these methods in other urban contexts with high concentrations of AC roofs, helping in the planning and optimization of intervention strategies to mitigate the risk in public and environmental health due to the presence of asbestos.

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          Highlights

          • Hyperspectral Imaging for AC Roof Assessment.

          • Prioritizing AC Roof Interventions in Urban Areas.

          • Innovative Methods for AC Roof Deterioration Diagnosis.

          • Mitigating Asbestos-Cement Roof Risks in Urban Environments.

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          Most cited references41

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          A transformation for ordering multispectral data in terms of image quality with implications for noise removal

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            Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications

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              Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                06 February 2024
                15 February 2024
                06 February 2024
                : 10
                : 3
                : e25612
                Affiliations
                [1]Civil Engineering Program, Universidad de Cartagena, Calle 30 # 48-152, Cartagena, Colombia
                Author notes
                []Corresponding author. msaba@ 123456unicartagena.edu.co
                Article
                S2405-8440(24)01643-8 e25612
                10.1016/j.heliyon.2024.e25612
                10865312
                38356589
                8402695a-a85e-4405-b45b-9b5d6845ec2d
                © 2024 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 27 September 2023
                : 21 January 2024
                : 30 January 2024
                Categories
                Research Article

                asbestos roof identification,asbestos in developing countries,ac weathering status,strategies for ac removal in urban areas

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