The Extraction and Analysis of Iron Alteration Information Based on SPOT Data for Mineral Prediction:A Case Study of the Longnan Gold Ore District
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
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.
李智峰, 朱谷昌, 张建国, 刘欢, 胡杏花. 基于SPOT数据的铁化蚀变信息提取及找矿应用研究——以陇南金矿区为例[J]. 国土资源遥感, 2011, 23(2): 91-97.
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. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 91-97.