Remote sensing prospecting prediction in periphery of the Jinchuan copper-nickel deposit based on ASTER data

doi:10.6046/gtzyyg.2016.01.03

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Abstract

According to the different band characteristics of ASTER data, lithologic and alteration information was extracted respectively. After silica content was extracted quantitatively by the band ratio method from TIR bands,the information of mafic-ultramafic rocks was extracted quantitatively by the band ratio lithologic index(LI) method, and the alteration information such as kaolin-sericite, chlorite and serpentine was extracted qualitatively by principal component analysis method from VNIR and SWIR bands. Then, on the ArcGIS platform, the alteration information extracted was made quantitative grading, and an integrated anomalous information figure was compiled after stacking process. The range and intensity were very consistent with the known mine. Finally, the ore prognosis of the Jinchuan copper-nickel deposit was conducted using the integrated anomalous information, and three prospecting prediction areas were delineated, which can provide a reference in the search for the same type of deposits.

Keywords GF-1 Image ratio build-up index (RBI) KT transformation accuracy analysis

:	TP79
	P627

Issue Date: 27 November 2015

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	YANG Wenzhi
	ZHANG Youjing
	YIN Xinhang
	WANG Jinlong

Cite this article:

YANG Wenzhi,ZHANG Youjing,YIN Xinhang, et al. Remote sensing prospecting prediction in periphery of the Jinchuan copper-nickel deposit based on ASTER data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 15-21.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.01.03 OR https://www.gtzyyg.com/EN/Y2016/V28/I1/15

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