| 多光谱遥感的盐类预测模型在莎车盆地找钾中的应用 |
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| 引用本文： | 姚佛军,刘成林,焦鹏程,曹养同,张华.多光谱遥感的盐类预测模型在莎车盆地找钾中的应用[J].矿床地质,2014,33(5):1091-1100. |
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| 作者姓名： | 姚佛军 刘成林 焦鹏程 曹养同 张华 |
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| 作者单位： | 1. 中国地质科学院矿产资源研究所国土资源部成矿作用和资源评价重点实验室,北京 100037;中国科学院地质与地球物理研究所,北京 100029
2. 中国地质科学院矿产资源研究所国土资源部成矿作用和资源评价重点实验室,北京,100037 |
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| 基金项目： | 本文得到国家重点发展研究计划项目(973计划)(编号: 2011CB403007)、自然科学基金项目(编号: 41102205)、“十二五”国家科技支撑计划305项目(编号: 2011BAB06B00)和中央级科研院所基本业务费项目(编号: K1208、K1213)的资助 |
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| 摘 要： | 石膏和盐类矿物的实测光谱特征表明,石膏反映在ASTER图像631(ETM图像743)假彩色合成图上呈现浅天蓝色调,而石盐为弱粉红色的色调特征。文章在此基础上利用主成分分析提取了石膏与盐类矿物的信息。野外查证结果显示,本次提取的信息与实际地物对应良好,并且在野外查证中新发现了一处含钾石盐层,根据遥感信息推测喀什西南凹陷区(文中D区)为找钾的预测区。
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| 关 键 词： | 地质学 遥感 钾盐 石膏 光谱 |
| 收稿时间： | 7/3/2013 12:00:00 AM |
| 修稿时间： | 2014/8/17 0:00:00 |
Application of multispectral remote sensing potash prognostic model to potassium prospecting work in Yarkend Basin, Xinjiang |
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| YAO FoJun,LIU ChengLin,JIAO PengCheng,CAO YangTong and ZHANG Hua.Application of multispectral remote sensing potash prognostic model to potassium prospecting work in Yarkend Basin, Xinjiang[J].Mineral Deposits,2014,33(5):1091-1100. |
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| Authors: | YAO FoJun LIU ChengLin JIAO PengCheng CAO YangTong and ZHANG Hua |
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| Institution: | MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China |
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| Abstract: | In this paper, actual spectral curves of gypsum and halite were measured by a spectrometer. The results show that spectral characteristics of gypsum can be identified by ASTER/ETM bands, which show pale blue hue characteristics in the ASTER 631 or ETM 743 false-color composite image. Based on the above characteristics, some anomalistic information of gypsum and halite was extracted by using PCA method. In combination with field verification, it can be concluded that the extracted information in this paper is consistent with the actual strata. The field verification led to the discovery of a new potassium-bearing halite layer, which seems to be a potassiumprospecting prognostic area, as inferred by remote-sensing information. |
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| Keywords: | geology remote sensing potassium gypsum spectrum |
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