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Proceedings Paper

Application of hydrothermal alteration mineral mapping using airborne hyperspectral remote sensing: data taken in the Baixianishan region of Gansu Province as an example
Author(s): Sun Yu; Yingjun Zhao; Donghui Zhang; Kai Qin; Feng Tian
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Paper Abstract

Hyperspectral remote sensing, featured by integrated images and spectra, is now a frontier of the remote sensing. Using meticulous spectra, hyperspectral remote sensing technology can depict spectral features of objects in detail and are capable of identifying objects rather than simply discriminating them. This study took the Baixianishan region in Gansu Province as an example, and CASI/SASI airborne hyperspectral data were utilized to extract and map alteration minerals by MTMF mapping method. Six hydrothermal alteration minerals were mapped, which contained limonite, sericite and epidote. In addition, we analyzed the types, combinations and distribution of the alteration minerals and divided three stages of hydrothermal activity. It is considered that the favorable ore-forming elements for gold deposits are middle Hercynian porphyraceous granite, fracture and veined distribution of sericite and limonite. The application of CASI/SASI airborne hyperspectral remote sensing data in the Baixianishan area has achieved ideal results, indicative of their wide application potential in the geological research.

Paper Details

Date Published: 25 October 2016
PDF: 6 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101561P (25 October 2016); doi: 10.1117/12.2247301
Show Author Affiliations
Sun Yu, Beijing Research Institute of Uranium Geology (China)
National Key Lab. of Remote Sensing Information and Image Analysis Technology (China)
Yingjun Zhao, Beijing Research Institute of Uranium Geology (China)
National Key Lab. of Remote Sensing Information and Image Analysis Technology (China)
Donghui Zhang, Beijing Research Institute of Uranium Geology (China)
National Key Lab. of Remote Sensing Information and Image Analysis Technology (China)
Kai Qin, Beijing Research Institute of Uranium Geology (China)
National Key Lab. of Remote Sensing Information and Image Analysis Technology (China)
Feng Tian, Beijing Research Institute of Uranium Geology (China)
National Key Lab. of Remote Sensing Information and Image Analysis Technology (China)


Published in SPIE Proceedings Vol. 10156:
Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology

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