• DocumentCode
    3382466
  • Title

    Modelling of tailing spectrum of the Tunisian semi-arid context

  • Author

    Mezned, Nouha ; Abdeljaoued, Saadi ; Boussema, Mohamed Rached

  • Author_Institution
    Lab. des Ressources Minrales et Environnement, Campus Univ. du Belvdre, Tunis, Tunisia
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2784
  • Lastpage
    2787
  • Abstract
    The spatial cartography is very effective for the study of the mine tailing which often show a not uniform and wide spatial distribution. Field spectral data, measured on the ground by a spectroradiometer are very important and needed for tailing classification. In this study, we explore for the first time the mine tailing cartography with remote sensing techniques for Jebel Hallouf-Bouaouane mine in Tunisia. Our methodology is based on a Spectral Modelling Approach SMA using the library reflectance fusion. The main contribution is to estimate the tailing components´ spectral reflectance by direct means. This allows us to replace the lack of the field data needed for mine tailing cartography. The results indicate that SMA can be applied successfully to multispectral data.
  • Keywords
    cartography; geophysical image processing; mining; pollution measurement; reflectivity; remote sensing; Jebel Hallouf-Bouaouane mine; Tunisian semi-arid area; field spectral data; library reflectance fusion; mine tailing cartography; remote sensing; spatial cartography; spectral modelling approach; spectral reflectance; spectroradiometer; tailing classification; tailing spectrum; Data models; Grain size; Laboratories; Libraries; Minerals; Remote sensing; Variable speed drives; Laboratory analysis; Spectral Modelling Approach SMA; field data; mineral spectra fusion; tailing cartography; tailing modelling spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654457
  • Filename
    5654457