DocumentCode
2862293
Title
Remote sensing comprehensive prospecting information and gold metallogenic predication in Dongyao village, Wutai county
Author
Xiuming, Jia ; Ning, Jiang
Author_Institution
Coll. of Min. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Volume
15
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Wutai Group in Wutai Mountain area in Shanxi province is the typical regions of Precambrian in China. The gold mineralization point and gold deposits in Wutai - Hengshan region are particularly developed. Using high spatial resolution Quickbird data of the Dongyao village gold mine region, and all data of Landsat7 as the source information, the author analyzed the differences of spectral characteristic from different remote sensing images of the region and, by the way, extracted the existing geological, geophysical and geochemical exploration information, and the remote sensing mineral exploration feature information which was extracted from the research area, including lithology, structure, mineralizing alteration etcetera. The author has found two best future target regions for prospecting, which further provides a good base for this region both on basic information and scientific basis for the geological survey and the remote sensing exploration model.
Keywords
geophysical prospecting; gold; minerals; remote sensing; China; Dongyao village; Landsat 7 data; Shanxi province; Wutai Mountain area; Wutai county; Wutai-Hengshan region; geochemical exploration information; gold deposits; gold metallogenic predication; gold mine region; gold mineralization point; high spatial resolution Quickbird data; prospecting information; remote sensing mineral exploration feature information; Fires; Geology; Sensors; ETM; Quickbird data; future target region for prospecting; remote sensing geological interpretation; the Dongyao Village;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5622503
Filename
5622503
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