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Experience and opportunities of space systems applications of Earth remote sensing to prediction gold mineralization on difficult to approach areas on the example of the Polar Urals

Journal: RUDN Journal of Engineering Researches (Vol.20, No. 2)

Publication Date:

Authors : ; ; ; ; ;

Page : 123-133

Keywords : Earth remote sensing; spacecraft; spectrozonal satellite imagery; prediction; gold mineralization; the Polar Urals;

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Abstract

The questions of the using of domestic and foreign spacecraft (SC), as well as Earth remote sensing (ERS) equipment for search and predication of gold mineralization on the example of the promising and difficult to approach areas of the Polar and the Northern Urals are discussed in the article. The solution of this problem is showed on the example of the prospective areas of the Arctic and the Northern Urals based on analysis of Landsat 7 multispectral images. Hidden structures (arc, annular, and radial) were detected with help of analyses of Landsat 7 imagery. Hidden structures determine the position of gold mineralization of the Toupugol-Hanmeyshorskogo (the Novogodnenskoe ore field, the Polar Urals) and the Turinsko-Auerbahovskogo (the Auerbachovskoe ore field, the Northern Urals) ore regions. The decision of this problem is given on the example of the promising territory of the Polar Urals with the use foreign SC the Landsat 7. Comparative analysis of the existing SC of ERS has been carried out, this target information has in the public domain. The onboard equipment installed on domestic spacecraft and the information obtained with use onboard equipment meets the existing requirements. These requirements are placed to onboard equipment to solve the problem of search and predication mineralization. At the same time, the capabilities of the deployed domestic orbital grouping of SC of ERS transcend the capabilities of SC of ERS the Landsat 7. Opportunity of obtaining geospatial information with the use of pseudospacecrafts is being considered. These have several advantages over SC and unmanned aerial vehicles.

Last modified: 2020-09-21 07:47:02