GENERAL ENQUIRIES: Tel: + 27 12 841 2911 | Email: callcentre@csir.co.za

Browsing by Author "Van der Meer, FD"

Sort by: Order: Results:

  • Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FD (Springer Berlin, 2008-08)
    This paper describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. The methodology is demonstrated in the Rodalquilar mineral district in Spain. ...
  • Debba, Pravesh; Stein, A; Van der Meer, FD; Carranza, EJM; Lucieer, A (Springer-Verlag Berlin Heidelberg, 2008-06)
    This paper presents a statistical method for deriving the optimal prospective field sampling scheme on a remote sensing image to represent different categories in the field. The iterated conditional modes algorithm (ICM) ...
  • Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FD (Free and Open Source Software for Geospatial Conference (FOSS4G), 2008-09)
    This research describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. In order to arrive at out objective, we provide a plausible answer to the ...
  • Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FD (Free and Open Source Software for Geospatial Conference (FOSS4G), 2008-09)
    This research describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral prospectivity map. In order to arrive at out objective, we provide a plausible answer to the ...
  • Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FD (2009-08)
    This research discusses a novice method for sampling geochemicals to characterize mine tailings. Researchers model the spatial relationships between a multi-element signature and abundance estimates of secondary iron-bearing ...
  • Debba, Pravesh; Carranza, EJM; Stein, A; Van der Meer, FD (IEEE, 2009-07)
    The paper describes a novice method for sampling geochemicals to characterize mine tailings. The author’s model the spatial relationships between a multi-element signature and, as covariates, abundance estimates of secondary ...