Exploration of Gold, Copper, Magnetite, Hematite, Manganese, Magnesium, Chromite, Antimony, Bauxite, Industrial soils, Nickel, Cobalt, Lead, Lithium minerals using Landsat8 satellite

mosayeb savizi

In this study, we provided an accurate and complete method for exploration and analysis of Gold, Copper, Magnetite, Hematite, Manganese, Magnesium, Chromite, Antimony, Bauxite, Industrial soils, Nickel, Cobalt, Lead and Lithium minerals in the desired area. Mineral exploration can be done using the seven bands from Landsat8 satellite images, through combination of different maps, a specific color spectrum and number obtained from map. Also we used four important formulas of band compounds as follows: (((b7+b6+b5)/b6), ((b5+b4+b3)/b6), ((b3+b2+b1)/b6)) as RGB, ((b3+b1)/b2), ((b3+b5)/b4), ((b5+b7)/b6)) as RGB, ((b3/b1), (b5/b7), b6) as RGB, (pca((b7+b6+b5)/b6), pca((b5+b4+b3)/b6), pca((b3+b2+b1)/b6)) as RGB. In our method, we used (MAP1, MAP11), (MAP2, MAP22), (MAP3, MAP33) and (MAP4, MAP44) maps in all mentioned minerals exploration which is obtained from the above four formulas respectively and by dividing the Landsat8 satellite images into two parts, enhancing the effectiveness of identifying and exploring geological data. Using the band compounds (((b7+b6+b5)/b6), ((b5+b4+b3)/b6), ((b3+b2+b1)/b6)) as RGB and (pca((b7+b6+b5)/b6), pca((b5+b4+b3)/b6), pca((b3+b2+b1)/b6)) as RGB, the speed and accuracy of exploration and analysis of the desired area increase greatly. And the correct analysis can be identified, and each mineral is placed in its correct color spectrum and numerical range. If the potential, reserve and the average grade of the minerals in the desired area decrease or increase, you can see them with a specific number and color spectrum. You can also analyze any mine everywhere around the world to decide which one is better, what kind of minerals you have in that mine, and also to find the best points of that mineral. In addition, it significantly enhances the acceleration of discoveries while also lowering mining costs and optimizing mine exploitation. We used mineral data of some parts of Iran in all examples in this study.