In recent decades, the world's space technologies in the
field of remote sensing satellites have grown and expanded significantly.
Remote sensing has provided many applications in the exploration of mines and
various mineral deposits. In this research, an attempt has been made to
investigate the method of obtaining information and characteristics of iron
minerals. The study area of the research is the Sangan mine, the largest iron
ore mine in West Asia, and the images used in this research are related to the
ASTER sensor. The spectral behavior of the soil is processed, and by using band
ratio algorithms, the spectral behavior of each iron mineral is extracted. The
areas that contain iron ore can be visually observed and analyzed. Among the
spectral indices used in this research are Fe+3 - Fe+2 - Laterite - Gossan –
Ferrous silicates – Ferric oxides, and the algorithms of these indices are
implemented in the Google Earth Engine web system. After estimating the iron
minerals, according to the output obtained from the spectral indices of iron,
the results showed that in the last 19 years, the amount of iron ore in the
Sangan region has been decreasing. The highest amount of iron minerals is
related to the areas of the Sangan mineral complex and the central areas of the
Sangan mountain. The map of the structutal lineamentss in the study area was
carried out using the accuracy assessment for the correctness of iron ore
calculations by the structural lineaments map and the output of the Ferrous
silicates index, and the RMSE shows about 0.14%, which indicates that the
accuracy of the iron ore is acceptable.
Author(s) Details:
Sajad Mehri
Islamic Azad University South Tehran Branch, Iran.
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