OPTIMIZATION STUDY OF GOLD PROSPECT AREAS IN THE SOUTHERN OF HAINAN PROVENCE USING REMOTE SENSING INFORMATION

doi:10.6046/gtzyyg.1997.04.06

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Abstract

In the vegetation area, to extract mineralization information from remote sensing data is still great difficult at present. This paper, based on the theory of remote sensing biogeochemistry, introduces how to extract the abnormal information of structure, alteration and vegetation from multi-source remote sensing data. The gold prospective areas were successfully selected, and its reliability was tested and verified by field work. This provides a new way for solving the similar problem.

Keywords Geological scenery Dynamic simulation Three-dimensional (3D) visualization Animated picture simulation 3DS MAX

Issue Date: 02 August 2011

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	LI Bai-Shou
	XING Li-Xin
	PAN Jun
	CHEN Jian
	LIN Jun
	ZHANG Wen-Xiu
	BANG Li-Li

Cite this article:

LI Bai-Shou,XING Li-Xin,PAN Jun, et al. OPTIMIZATION STUDY OF GOLD PROSPECT AREAS IN THE SOUTHERN OF HAINAN PROVENCE USING REMOTE SENSING INFORMATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(4): 33-38，53.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1997.04.06 OR https://www.gtzyyg.com/EN/Y1997/V9/I4/33

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