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Proceedings Paper

Biogeochemical effects and remote sensing characteristics of gold deposit
Author(s): Yueliang Ma; Ruisong Xu
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Paper Abstract

In vegetation district, as a result of that the plant absorb Au and associated elements of locks and soils, the contents of Au and associated elements, pigment, water, surface temperature, and cells structure in leaves occur variations, even the plant cause abnormality of biogeochemical effect, thus it appear abnormality in the spectral information of TM image. This paper takes the Hetai gold deposit in Guangdong as researh target. The results proved that Au content of leaves in the gold deposit is as high as the background value, Au content in chlorophyll of leaves is 2 - 8 times higher than that, the contents of the chlorophyll a and b as well as the carotenoid are also higher than those of the control area, the water content and surface temperature of leaves are lower than the background value, the cells structure in leaves are deformed and broken, the spectral reflectance of the leave is 5% - 30% higher than that in the reference areas, the spectral wave shape is more shifted toward the short wavelength. According to these feature and difference, the remote sensing image processing technologies are utilized to extract the abnormal feature of biogeochemical effect, and enclose the remote sensing abnormal areas of mineral; Gold exploration was thus conducted in the surrounding areas of the Hetai bold deposits in Guangdong and two remote sensing abnormal areas of gold mineralization were rapidly evaluated in this way. The research proved that the remote sensing technology is a rapid, accurate and economical method of extracting abnormal information about the biogeochemical effect in vegetation and applying it to the mineral exploration practice, and this constitutes a new way in exploring hidden ore deposits in vegetation regions.

Paper Details

Date Published: 17 August 1998
PDF: 10 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317794
Show Author Affiliations
Yueliang Ma, Guangzhou Institute of Geochemistry (China)
Ruisong Xu, Guangzhou Institute of Geochemistry (China)

Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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