Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data
This paper describes a systematic procedure for recognizing corrugated asbestos-cement roofing sheets and evaluating their deterioration status related to the asbestos fiber air dispersion that can cause lung cancer. To develop this procedure, we made field and laboratory measurements and gathered a...
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| Veröffentlicht in: | Remote sensing of environment 2007-08, Vol.109 (3), p.361-378 |
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| creator | Bassani, Cristiana Cavalli, Rosa Maria Cavalcante, Francesco Cuomo, Vincenzo Palombo, Angelo Pascucci, Simone Pignatti, Stefano |
| description | This paper describes a systematic procedure for recognizing corrugated asbestos-cement roofing sheets and evaluating their deterioration status related to the asbestos fiber air dispersion that can cause lung cancer. To develop this procedure, we made field and laboratory measurements and gathered airborne MIVIS data covering two industrial test areas in Italy.
Laboratory analyses of asbestos-cement samples representing various levels of deterioration allowed for: (a) recognizing dominant minerals using XRD and FTIR instruments, (b) identifying their optical characteristics using portable field spectrometers (ASD and μFTIR), (c) assessing the abundance of surfacing asbestos fibers using a high resolution scanner.
Based on the spectral analyses, two linear regression lines were identified by relating optical asbestos-cement material characteristics (
i.e. band-depth ratio of the continuum removed calculated for the two asbestos diagnostic bands at 2.32 μm and at 9.44 μm) to the relative percentage of surfacing asbestos fibers related to AC deterioration status.
Suitable MIVIS spectral regions were used in a spectral classification procedure to map asbestos-cement roofs. The detected roofs were further analyzed using the obtained linear regression lines to estimate surfacing asbestos fiber abundance, using the MIVIS TIR range at 9.44 μm, selected by means of the asbestos-cement detection limit analysis.
The results showed that a hyperspectral scanner with suitable operational characteristics allows for good clustering of AC roofs as a function of their deterioration status. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental mapping procedure that can provide information about the location of hazardous AC roofing sheets. |
| doi_str_mv | 10.1016/j.rse.2007.01.014 |
| format | Article |
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Laboratory analyses of asbestos-cement samples representing various levels of deterioration allowed for: (a) recognizing dominant minerals using XRD and FTIR instruments, (b) identifying their optical characteristics using portable field spectrometers (ASD and μFTIR), (c) assessing the abundance of surfacing asbestos fibers using a high resolution scanner.
Based on the spectral analyses, two linear regression lines were identified by relating optical asbestos-cement material characteristics (
i.e. band-depth ratio of the continuum removed calculated for the two asbestos diagnostic bands at 2.32 μm and at 9.44 μm) to the relative percentage of surfacing asbestos fibers related to AC deterioration status.
Suitable MIVIS spectral regions were used in a spectral classification procedure to map asbestos-cement roofs. The detected roofs were further analyzed using the obtained linear regression lines to estimate surfacing asbestos fiber abundance, using the MIVIS TIR range at 9.44 μm, selected by means of the asbestos-cement detection limit analysis.
The results showed that a hyperspectral scanner with suitable operational characteristics allows for good clustering of AC roofs as a function of their deterioration status. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental mapping procedure that can provide information about the location of hazardous AC roofing sheets.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2007.01.014</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Animal, plant and microbial ecology ; Applied geophysics ; Asbestos cement ; Biological and medical sciences ; Detection thresholds ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Hyperspectral data ; Internal geophysics ; Teledetection and vegetation maps ; Urban remote sensing</subject><ispartof>Remote sensing of environment, 2007-08, Vol.109 (3), p.361-378</ispartof><rights>2007 Elsevier Inc.</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-ff0dcd2fb2f16eca9b06096789ebc7330621bc0409a92e658b9d43fa0ad7ac143</citedby><cites>FETCH-LOGICAL-c358t-ff0dcd2fb2f16eca9b06096789ebc7330621bc0409a92e658b9d43fa0ad7ac143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425707000429$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18866963$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Bassani, Cristiana</creatorcontrib><creatorcontrib>Cavalli, Rosa Maria</creatorcontrib><creatorcontrib>Cavalcante, Francesco</creatorcontrib><creatorcontrib>Cuomo, Vincenzo</creatorcontrib><creatorcontrib>Palombo, Angelo</creatorcontrib><creatorcontrib>Pascucci, Simone</creatorcontrib><creatorcontrib>Pignatti, Stefano</creatorcontrib><title>Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data</title><title>Remote sensing of environment</title><description>This paper describes a systematic procedure for recognizing corrugated asbestos-cement roofing sheets and evaluating their deterioration status related to the asbestos fiber air dispersion that can cause lung cancer. To develop this procedure, we made field and laboratory measurements and gathered airborne MIVIS data covering two industrial test areas in Italy.
Laboratory analyses of asbestos-cement samples representing various levels of deterioration allowed for: (a) recognizing dominant minerals using XRD and FTIR instruments, (b) identifying their optical characteristics using portable field spectrometers (ASD and μFTIR), (c) assessing the abundance of surfacing asbestos fibers using a high resolution scanner.
Based on the spectral analyses, two linear regression lines were identified by relating optical asbestos-cement material characteristics (
i.e. band-depth ratio of the continuum removed calculated for the two asbestos diagnostic bands at 2.32 μm and at 9.44 μm) to the relative percentage of surfacing asbestos fibers related to AC deterioration status.
Suitable MIVIS spectral regions were used in a spectral classification procedure to map asbestos-cement roofs. The detected roofs were further analyzed using the obtained linear regression lines to estimate surfacing asbestos fiber abundance, using the MIVIS TIR range at 9.44 μm, selected by means of the asbestos-cement detection limit analysis.
The results showed that a hyperspectral scanner with suitable operational characteristics allows for good clustering of AC roofs as a function of their deterioration status. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental mapping procedure that can provide information about the location of hazardous AC roofing sheets.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Asbestos cement</subject><subject>Biological and medical sciences</subject><subject>Detection thresholds</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Hyperspectral data</subject><subject>Internal geophysics</subject><subject>Teledetection and vegetation maps</subject><subject>Urban remote sensing</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp9kE9rHDEMxU1pods0HyC3ubS32cjzx_aQU0iTNBDIJTkbjUduvMyOt5a3sPn09bKB3goPdNBPT9IT4kLCWoJUl5t1Ylo3AHoNsqj7IFbS6KEGDd1HsQJou7prev1ZfGHeAMjeaLkS9gdlSiEmzCEuFWfMe66ir5BH4hy5drSlJVcpRh-WXxW_EmUubaaiqRoPFS44H96OzdfDjhLvyOWEczVhxq_ik8eZ6fy9nomXu9vnm5_149P9w831Y-3a3uTae5jc1Pix8VKRw2EEBYPSZqDR6bYF1cjRQQcDDg2p3ozD1LUeASeNTnbtmfh-8t2l-HtfLrfbwI7mGReKe7YN9MYYrQooT6BLkTmRt7sUtpgOVoI9Rmk3tkRpj1FakEVH82_v5sgOZ59wcYH_DRqj1KDawl2dOCqf_gmULLtAi6MppJKJnWL4z5a_FPOLvQ</recordid><startdate>20070815</startdate><enddate>20070815</enddate><creator>Bassani, Cristiana</creator><creator>Cavalli, Rosa Maria</creator><creator>Cavalcante, Francesco</creator><creator>Cuomo, Vincenzo</creator><creator>Palombo, Angelo</creator><creator>Pascucci, Simone</creator><creator>Pignatti, Stefano</creator><general>Elsevier Inc</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope></search><sort><creationdate>20070815</creationdate><title>Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data</title><author>Bassani, Cristiana ; Cavalli, Rosa Maria ; Cavalcante, Francesco ; Cuomo, Vincenzo ; Palombo, Angelo ; Pascucci, Simone ; Pignatti, Stefano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-ff0dcd2fb2f16eca9b06096789ebc7330621bc0409a92e658b9d43fa0ad7ac143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied geophysics</topic><topic>Asbestos cement</topic><topic>Biological and medical sciences</topic><topic>Detection thresholds</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Hyperspectral data</topic><topic>Internal geophysics</topic><topic>Teledetection and vegetation maps</topic><topic>Urban remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bassani, Cristiana</creatorcontrib><creatorcontrib>Cavalli, Rosa Maria</creatorcontrib><creatorcontrib>Cavalcante, Francesco</creatorcontrib><creatorcontrib>Cuomo, Vincenzo</creatorcontrib><creatorcontrib>Palombo, Angelo</creatorcontrib><creatorcontrib>Pascucci, Simone</creatorcontrib><creatorcontrib>Pignatti, Stefano</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bassani, Cristiana</au><au>Cavalli, Rosa Maria</au><au>Cavalcante, Francesco</au><au>Cuomo, Vincenzo</au><au>Palombo, Angelo</au><au>Pascucci, Simone</au><au>Pignatti, Stefano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data</atitle><jtitle>Remote sensing of environment</jtitle><date>2007-08-15</date><risdate>2007</risdate><volume>109</volume><issue>3</issue><spage>361</spage><epage>378</epage><pages>361-378</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>This paper describes a systematic procedure for recognizing corrugated asbestos-cement roofing sheets and evaluating their deterioration status related to the asbestos fiber air dispersion that can cause lung cancer. To develop this procedure, we made field and laboratory measurements and gathered airborne MIVIS data covering two industrial test areas in Italy.
Laboratory analyses of asbestos-cement samples representing various levels of deterioration allowed for: (a) recognizing dominant minerals using XRD and FTIR instruments, (b) identifying their optical characteristics using portable field spectrometers (ASD and μFTIR), (c) assessing the abundance of surfacing asbestos fibers using a high resolution scanner.
Based on the spectral analyses, two linear regression lines were identified by relating optical asbestos-cement material characteristics (
i.e. band-depth ratio of the continuum removed calculated for the two asbestos diagnostic bands at 2.32 μm and at 9.44 μm) to the relative percentage of surfacing asbestos fibers related to AC deterioration status.
Suitable MIVIS spectral regions were used in a spectral classification procedure to map asbestos-cement roofs. The detected roofs were further analyzed using the obtained linear regression lines to estimate surfacing asbestos fiber abundance, using the MIVIS TIR range at 9.44 μm, selected by means of the asbestos-cement detection limit analysis.
The results showed that a hyperspectral scanner with suitable operational characteristics allows for good clustering of AC roofs as a function of their deterioration status. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental mapping procedure that can provide information about the location of hazardous AC roofing sheets.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2007.01.014</doi><tpages>18</tpages></addata></record> |
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| subjects | Animal, plant and microbial ecology Applied geophysics Asbestos cement Biological and medical sciences Detection thresholds Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Hyperspectral data Internal geophysics Teledetection and vegetation maps Urban remote sensing |
| title | Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data |
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