THE SPACE-GROUND CORRELATION RESEARCH OF REMOTE SENSING DATA (TM) AND ITS APPLICATION IN METALLOGENIC PROGNOSIS

doi:10.6046/gtzyyg.1997.03.04

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Abstract

By means of the correlation analysis of TMdata, the authors have proved that the relation between the TMimage brightness and the ground spectrum reflectivity of copper deposits is the linear correlation. On the basis of the ground-space correlation analysis of TMdata, the present paper deals with the regression analysis method and the application effects of the ground-space correlation image for the prognosis of copper deposits in Sankuanggou area located in Heilongjang Province. The paper presents that the regression analysis of TMdata is one of the best method for detecting copper mineralization position and metallogenic prognosis.

Keywords Backscattering coefficient Soil moisture S-band SAR IEM model Simulated-images HJ-1C

Issue Date: 02 August 2011

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	CHEN Quan
	LI Zhen
	WANG Lei
	XIONG Zhang-Qiang
	ZHOU An
	ZHANG Da-Zhou

Cite this article:

CHEN Quan,LI Zhen,WANG Lei, et al. THE SPACE-GROUND CORRELATION RESEARCH OF REMOTE SENSING DATA (TM) AND ITS APPLICATION IN METALLOGENIC PROGNOSIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(3): 19-28.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1997.03.04 OR https://www.gtzyyg.com/EN/Y1997/V9/I3/19

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