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The Extraction and Analysis of Iron Alteration Information Based on SPOT Data for Mineral Prediction:A Case Study of the Longnan Gold Ore District

doi:10.6046/gtzyyg.2011.02.17

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Abstract

Taking the Longnan gold ore district in Gansu Province as the study area, this paper carried out the study of extracting iron alteration information from satellite-based remote sensing images from SPOT data. Based on analyzing the geological background and rock alteration types, the authors used SPOT 5 satellite remote sensing images and, by utilizing a variety of image processing methods, extracted the iron alteration information closely related to gold mineralization and explored the feasibility of extracting alteration information from moderate and high resolution satellite data. The results show that, in comparison with ETM，ASTER and other satellite data， SPOT does not have a broader spectral range and higher spectral resolution，but can play an effective role in carrying out some specific tasks in particular area.

Keywords Land price Spatial distribution Influential factors

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	TP 751
	TP 79

Issue Date: 17 June 2011

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Cite this article:

LI Zhi-Feng, ZHU Gu-Chang, ZHANG Jian-Guo, LIU Huan, HU Xing-Hua.
The Extraction and Analysis of Iron Alteration Information Based on SPOT Data for Mineral Prediction:A Case Study of the Longnan Gold Ore District[J]. REMOTE SENSING FOR LAND & RESOURCES,2011, 23(2): 91-97.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.02.17 OR https://www.gtzyyg.com/EN/Y2011/V23/I2/91

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