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Miscellanea Geographica

Regional Studies on Development

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CiteScore 2016: 0.40

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Source Normalized Impact per Paper (SNIP) 2016: 0.404

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2084-6118
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Mapping asbestos-cement roofing with the use of APEX hyperspectral airborne imagery: Karpacz area, Poland – a case study

Małgorzata Krówczyńska
  • 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
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ewa Wilk
  • 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
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Piotr Pabjanek
  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Bogdan Zagajewski
  • University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, Warsaw, Poland
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Koen Meuleman
Published Online: 2016-04-20 | DOI: https://doi.org/10.1515/mgrsd-2016-0007

Abstract

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.

Keywords: Asbestos; asbestos containing products; SAM classification; APEX data; asbestos removal process; Poland

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About the article

Received: 2015-09-09

Accepted: 2016-01-26

Published Online: 2016-04-20

Published in Print: 2016-03-01


Citation Information: Miscellanea Geographica, ISSN (Online) 2084-6118, DOI: https://doi.org/10.1515/mgrsd-2016-0007.

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© by Małgorzata Krówczyńska. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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