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格陵兰岛科瓦内湾遥感异常提取及找矿预测 被引量:1

Remote sensing anomaly extraction and prospecting prediction in Kovane Bay,Greenland
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摘要 以格陵兰岛科瓦内湾Landsat8、ASTER数据为基础,开展工作区遥感地质解译,分析岩性构造规律;以铁染蚀变、羟基蚀变的波谱特征为依据,采用主成分分析法分别提取铁染、羟基异常信息;结合地质解译及遥感异常提取,在现代成矿理论支撑下甄别找矿异常信息,圈定找矿预测区。 Based on the Landsat8 and ASTER data of the Kovane Bay in Greenland, the remote sensing geological interpretation of the working area is carried out to analyze the lithological tectonic laws. Based on the spectral characteristics of iron corrosion alteration and hydroxyl alteration, principal component analysis is used. Extracting iron staining and hydroxyl anomaly information;combining geological interpretation and remote sensing anomaly extraction, identifying ore prospecting information under the support of modern metallogenic theory, and delineating the prospecting prediction area.
作者 陈超 朱志敏 王璠 CHEN Chao;ZHU Zhi-min;WANG Fan(School of Earth Sciences, Chengdu University of Technology, Chengdu, Sichuan, China;Institute of Mineral Resources Comprehensive Utilization, Chinese Academy of Geological Sciences, Chengdu, Sichuan Province;Nanjiang County Land and Resources Bureau, Bazhong City, Sichuan Province)
出处 《世界有色金属》 2019年第2期76-78,共3页 World Nonferrous Metals
基金 <22种重要矿产资源节约与综合利用调查>
关键词 遥感地质解译 主成分分析法 遥感异常提取 找矿预测 Remote sensing geological interpretation Principal Component Analysis Remote sensing anomalyextraction Prospecting prediction
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