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2016 | 20 | 1 | 41-46

Article title

Mapping asbestos-cement roofing with the use of APEX hyperspectral airborne imagery: Karpacz area, Poland – a case study

Content

Title variants

Languages of publication

Abstracts

EN
Asbestos and asbestos containing products are harmful to human health, and therefore its use has been legally forbidden in the EU. Since there is no adequate data on the amount of asbestos-cement roofing in Poland, the objective of this study was to map asbestos-cement roofing with the use of hyperspectral APEX data (288 bands at the spatial resolution of 2.7 m) in the Karpacz area (southwest Poland). A field survey constituted the basis for training and verification polygons in the classification process. A SAM classification method was performed with the following classification results: 62% producer’s accuracy, 73% user’s accuracy and an overall accuracy of 95%. The asbestos-cement roofing for buildings may be discriminated with a high classification accuracy with the use of hyperspectral imagery. The vast majority of the classified buildings were characterised by their small area (i.e. residential type buildings), which reduced the overall accuracy of the classification.

Year

Volume

20

Issue

1

Pages

41-46

Physical description

Dates

published
2016

Contributors

  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
  • WGS84 Polska Sp. z o.o., Milanówek, Poland
author
  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
  • WGS84 Polska Sp. z o.o., Milanówek, Poland
  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
author
  • VITO - Centre for Remote Sensing and Earth Observation Processes

References

  • Act of 19 June 1997 on the prohibition of the use of asbestoscontaining products, 1997, Journal of Laws, no 101, item 628 as amended.
  • Boardman, JW, Kruse, FA & Green, RO 1995, ‘Mapping target signatures via partial unmixing of AVIRIS data’, in Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, vol. 1, Pasadena, CA, pp. 23-26.
  • Collegium Ramazzini 2010, Asbestos is still with us: repeat call for a universal banʼ, Odontology, vol. 98, pp. 97-10.
  • Commission Directive 1999/77/EC of 26 July 1999 adapting to technical progress for the sixth time Annex I to Council Directive 76/769/EEC on the approximation of the laws, regulations and administrative provisions of the Member States relating to restrictions on the marketing and use of certain dangerous substances and preparations (asbestos) 1999. Available from: <http://eur-lex.europa.eu/legalcontent/EN/TXT/?uri=CELEX:31999L0077>. [18 September 2014].
  • Directive 2003/18/EC of the European Parliament and of the Council of 27 March 2003 amending Council Directive 83/477/EEC on the protection of workers from the risks related to exposure to asbestos at work. OJ L 97, 15.4.2003, p. 48-52. Available from: <http://eur-lex.europa.eu/legalcontent/GA/TXT/?uri=CELEX:32003L0018>. [18 September 2014]
  • European Parliament resolution of 14 March 2013 on asbestos related occupational health threats and prospects for abolishing all existing asbestos (2012/2065(INI)).
  • Fiumi, L, Campopiano, A, Casciardi, S & Ramires, D 2012, ‘Method validation for the identification of asbestos-cement roofing’, Applied Geomatics, vol. 5, pp. 55-64.
  • Fiumi, L, Congedo, L & Meoni, C 2014, ‘Developing expeditious methodology for mapping asbestos-cement roof coverings over the territory of Lazio Region’, Applied Geomatics, vol. 6, pp. 37-48.
  • Frassy, F, Candiani, G, Rusmini, M, Maianti, P, Marchesi, A, Nodari, FR, Via, GD, Albonico, C & Gianinetto, M 2014, ‘Mapping Asbestos-Cement Roofing with Hyperspectral Remote Sensing over a Large Mountain Region of the Italian Western Alps’, Sensors, vol. 14, no 9, pp. 15900-15913.
  • Frassy, F, Dalla Via, G, Maianti, P, Marchesi, A, Rota Nodari, F & Gianinetto, M 2013, ‘Minimum noise fraction transform for improving the classification of airborne hyperspectral data: Two case studies’, in Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Gainesville, FL, USA, pp. 1-4.
  • Frassy, F, Morra Di Cella, U, Bocca, M & Bovio, M 2009. ‘Habitat cartography using color infrared and hyperspectral images’, in Proceedings of the 4th Symposium of the Hohe Tauern National Park for Research in Protected Areas, ed. K Bauch, Salzburg, Austria, pp. 89-92.
  • Green, AA, Berman, M, Switzer, P & Craig, MD 1988, ‘A transformation for ordering multispectral data in term of image quality with implication to noise removal’, IEEE Transactions on Geoscience and Remote Sensing, vol. 26, no. 1, pp. 65-74.
  • Hendry, NW 1965, ‘The Geology, Occurrences, And Major Uses Of Abestos’, Annals of the New York Academy of Sciences, vol. 132, pp. 12-21.
  • IBAS, International Ban Asbestos Secretariat 2014, Available from: <http://www.ibasecretariat.org/lka_alpha_asb_ban_280704.php>. [30 January 2014].
  • ILO and WHO, Outline for the Development of National Programmes for Elimination of Asbestos-Related Diseases 2007, International Labour Organization and World Health Organization. Available from: <http://www.who.int/occupational_health/publications/Out_NPEAD_ENG.pdf>. [30 January 2014].
  • Iwaniak, A, Krówczyńska, M & Paluszyński, W, 2002, ‘Using neural networks for urban area classification in satellite images’, in 23rd EARSel Symposium on Remote Sensing in Transition, ed. R. Goossens, Ghent, Belgium, pp. 109-113.
  • Krause, FA, Boardman, JW, Lefkoff, AB, Heidebrecht, KB, Shapiro, AT, Barloon, PJ & Goetz, AFH 1993. ‘The Spectral Image Processing System (SIPS) - interactive visualization and analysis of imaging spectrometer Data’, Remote Sensing of Environment, vol. 44, pp. 145-163.
  • Krówczyńska, M, Wilk, E & Zagajewski, B 2014, ‘The Electronic Spatial Information System - tools for the monitoring of asbestos in Poland’, Miscellanea Geographica - Regional Studies On Development, vol. 18, no. 2, pp. 59-64.
  • Krówczyńska, M & Wilk, E 2013, ‛Aerial imagery and geographic information systems used in the asbestos removal process in Poland’ in 33th EARSeL Symposium Towards Horizon 2020: Earth Observation and Social Perspectives, eds. R Lasaponara, N Masini & M Biscione, EARSeL, Matera, pp. 823-828.
  • Lee, JB, Woodyatt, AS & Berman, M 1990, ‘Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform’, IEEE Transactions on Geoscience and Remote Sensing, vol. 28, no. 3, pp. 295-304.
  • Local Data Bank 2012, Central Statistical Office. Available from: <http://www.stat.gov.pl/bdlen/app/strona.html?p_name=indeks>. [27 January 2014].
  • PfAAiP, Programme for Asbestos Abatement in Poland 2009-2032, 2010, Ministry of Economy. Available from: <http://www.mg.gov.pl/files/upload/8380/PROGRAM_ENG.pdf>. [10 December 2013].
  • Ross M, Langer, AM, Nord, GL, Nolan, RP, Lee, RJ, Van Orden, D & Addison J, 2007, ʻThe mineral nature of asbestosʼ, Regulatory Toxicology And Pharmacology, vol. 52 (1 Suppl), pp. 26-30.
  • Shahtahmassebi, A, Yang, N, Wang, K, Moore, N & Shen, Z 2013, ‘Review of shadow detection and de-shadowing methods in remote sensing’, Chinese Geographical Science, vol. 23, pp. 403-420.[WoS]
  • Szabó, S, Burai, P, Kovács, Z, Szabó, G, Kerényi, A, Fazekas, I, Paládi, M, Buday, T & Szabó, G 2014, ‘Testing algorithms for the identification of asbestos roofing based on hyperspectral data’ Environmental Engineering and Management Journal, vol. 143, no. 11, pp. 2875-2880.
  • WHO, World Health Organization 2006, Elimination of asbestosrelated diseases WHO/SDE/OEH/06/03. Available from: <http://whqlibdoc.who.int/hq/2006/WHO_SDE_OEH_06.03_eng.pdf>. [10 December 2013].
  • WHO, World Health Organization 2014, ‘Asbestos: elimination of asbestos-related diseases’, Fact sheet N°343. Available from: <http://www.who.int/mediacentre/factsheets/fs343/en/>. [5 May 2015].
  • Wilk E, Krówczyńska M & Zagajewski B 2014, ‘Asbestos manufacturing plants in Poland’, Miscellanea Geographica - Regional Studies on Development, vol. 18, no. 2, pp 53-58.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
1035955

YADDA identifier

bwmeta1.element.ojs-issn-0867-6046-year-2016-volume-20-issue-1-article-bwmeta1_element_doi-10_1515_mgrsd-2016-0007
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