Surficial Iron Mineral Potential Mapping From Aster Data In Malmberget And Adjoining Area In Norrbotten County Sweden

The aim of this work is to develop a simple and effective approach for surficial iron mineral potential zone identification and mapping using optical remote sensing data. Thus, an iron mineral potential model (IMPM) was developed by combining multiple band ratios for iron mineral detection. The developed method was applied on the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data from Malmberget and nearby area from Gallivare district, Norrbotten county, Sweden. The results from the study area revealed that the developed approach is effective in iron mineral potential zone mapping using ASTER data with more than 90% accuracy.