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The study of the spectral properties of minerals and rocks by remote sensing methods are based on mineralogical and petrographic studies. The article presents the results of calculation of mineral indices using ASTER (Advanced Space Thermal Emission and Reflection Radiometer) satellite images of the central part of the North Nurata Mountains. Pre-processing of the space image, including geometric and radiometric correction was carried out with the ENVI 5.3 program. Mineral indicators of ore minerals, such as iron oxides, carbonate, silicate and siliceous minerals were identified based on mathematical operations of ASTER space imagery channels. The mineral index results provided accurate spectral information on mineral indicator minerals and lithologic mapping while showing the spatial distribution of these materials. The areoles of the identified mineral groups mostly coincide with mineralized zones on the various ore minerals. The results can be used to create and update mineral distribution maps to predict new areas of mineral accumulations

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 05-11-2022
  • Read count 115
  • Date of publication 30-09-2022
  • Main LanguageIngliz
  • Pages98-104
English

The study of the spectral properties of minerals and rocks by remote sensing methods are based on mineralogical and petrographic studies. The article presents the results of calculation of mineral indices using ASTER (Advanced Space Thermal Emission and Reflection Radiometer) satellite images of the central part of the North Nurata Mountains. Pre-processing of the space image, including geometric and radiometric correction was carried out with the ENVI 5.3 program. Mineral indicators of ore minerals, such as iron oxides, carbonate, silicate and siliceous minerals were identified based on mathematical operations of ASTER space imagery channels. The mineral index results provided accurate spectral information on mineral indicator minerals and lithologic mapping while showing the spatial distribution of these materials. The areoles of the identified mineral groups mostly coincide with mineralized zones on the various ore minerals. The results can be used to create and update mineral distribution maps to predict new areas of mineral accumulations

№ Author name position Name of organisation
1 Almordonov A.R. researcher TSTU
2 ASADOV A.R. teacher University of geological sciences
№ Name of reference
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