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Solid Earth An interactive open-access journal of the European Geosciences Union

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doi:10.5194/se-2017-25
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
13 Mar 2017
Review status
This discussion paper is under review for the journal Solid Earth (SE).
Remote sensing data processing by multivariate regression analysis method for iron mineral resource potential mapping: A case study in Sarvian area, central Iran
Edris Mansouri1, Faranak Feizi2, Alireza Jafari Rad1, and Mehran Arian1 1Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract. This paper used multivariate regression to create a mathematical model (with reasonable accuracy) for iron skarn exploration in the region of the interest and generalizing multivariate regression in Mineral Prospectivity Mapping (MPM) field. The main target of this manuscript is to exert multivariate regression analysis (as a MPM method) to iron outcrops mapping from northeast part of the study area to discover new iron deposits in other parts. Two types of multivariate regression models as two linear equations were employed to discover new mineral deposits. The Aster satellite image bands (14 bands) sets as Unique Independent Variables (UIVs) and iron outcrops map as dependent variables were used for MPM. According to the results of p-value, R2 and R2adj, the second regression model (which was a multiples and exponents of UIVs) was the fitted model versus other models. Also the accuracy of the model was confirmed by iron outcrops map and geological observations. Based on field observation iron mineralization occurs as contact of limestone and intrusive rocks (skarn type). Iron minerals consist dominantly of magnetite, hematite and goethite.

Citation: Mansouri, E., Feizi, F., Jafari Rad, A., and Arian, M.: Remote sensing data processing by multivariate regression analysis method for iron mineral resource potential mapping: A case study in Sarvian area, central Iran, Solid Earth Discuss., doi:10.5194/se-2017-25, in review, 2017.
Edris Mansouri et al.
Edris Mansouri et al.
Edris Mansouri et al.

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