Technology Application |
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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
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LI Zhi-feng 1, ZHU Gu-chang 1,2, ZHANG Jian-guo 2, LIU Huan 1, HU Xing-hua 1 |
1.College of Geology and Environmental Engineering, Central South University, Changsha 410083, China; 2.China Non-ferrous Metals Resource Geological Survey, Beijing 100012, China |
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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.
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Keywords
Land price
Spatial distribution
Influential factors
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Issue Date: 17 June 2011
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