Articles | Volume 9, issue 2
https://doi.org/10.5194/se-9-373-2018
https://doi.org/10.5194/se-9-373-2018
Research article
 | 
28 Mar 2018
Research article |  | 28 Mar 2018

Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: a case study in the Sarvian area, central Iran

Edris Mansouri, Faranak Feizi, Alireza Jafari Rad, and Mehran Arian

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Cited articles

Abedi, M., Torabi, S. A., Norouzi, G.-H., and Hamzeh, M.: ELECTRE III: a knowledge-driven method for integration of geophysical data with geological and geochemical data in mineral prospectivity mapping, J. Appl. Geophys., 87, 9–18, 2012.
Abedi, M., Torabi, S. A., and Norouzi, G. H.: Application of fuzzy AHP method to integrate geophysical data in a prospect scale, a case study: Seridune copper deposit, B. Geofis. Teor. Appl., 54, 145–164, 2013.
Abrams, M.: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER): Data products for the high spatial resolution imager on NASA's Terra platform, Int. J. Remote Sens., 21, 847–859, 2000.
Allbed, A., Kumar, L., and Sinha, P.: Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques, Remote Sens., 6, 1137–1157, 2014.
Bonham-Carter, G. and Agterberg, F.: Application of amicrocomputer-based geographic information system to mineral potential mapping, Microcomput. Geol. 2, 49–74, 1990.
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