辽宁兴城地区岩石光谱测试及特征分析

doi:10.13278/j.cnki.jjuese.201501306

摘要/Abstract

摘要：

在辽宁兴城野外实习基地采用ASD光谱仪完成不同岩石样品光谱测试的基础上, 分析了不同类型、不同地质时代的岩浆岩和沉积岩, 及其风化面和新鲜面的光谱曲线特征。兴城野外不同岩浆岩与沉积岩光谱曲线形态相似, 新鲜面和风化面的特征光谱吸收位置相差不大, 但新鲜面的反射率普遍高于风化面的反射率;岩浆岩和沉积岩样品一般在波长为900 nm左右存在铁离子吸收谷;除了在1 400 nm和1 900 nm处有水汽吸收带外, 岩浆岩和沉积岩样品在2 200 nm左右还存在强吸收谷, 而灰岩在2 300 nm左右有比较高的吸收谷, 这也是利用实测光谱进行岩性分类的理论基础。但是, 不同地质年代下的岩石光谱曲线变化并无规律, 更多地与岩石结构、成分和环境因素等相关。这样, 岩石光谱测试及其特征分析可满足研究区岩性识别、矿化蚀变信息提取的需要。

关键词: 辽宁兴城地区, 岩石, 光谱测试, 光谱特征

Abstract:

Remote sensing images record the rock spectral radiation characteristics and morphological characteristics. In the study, after the spectra of different rocks were measured in Xingcheng area for ASD spectrometer, the spectral characteristics are analyzed to the rocks with fresh and weathering surfaces for different rock types and different geological era. The spectral curves of different sedimentary and magmatic rocks are similar, and their absorbing positions have the same wavelength. But the reflectance of the fresh surface of rocks is higher than the weathering surface. Around 900 nm, the spectral absorption valley may be due to iron ions. In addition to 1 400 nm and 1900 nm of water vapor absorption band, sedimentary and magmatic rocks have a strong absorption valley around 2 200 nm, while limestone has a relatively high peak around 2 300 nm. These are theoretical basis of rock classification in the spectral method. But the spectral features of rocks on different geological era are not obvious. And it is related to the texture and components of rocks. Thus, the rock spectral measurements and spectral characterization analysis can meet the need of lithology recognition, mineralization alteration information extraction for geological investigation and mineral exploration.

Key words: Xingcheng area, Liaoning Province, rocks, spectral measurement, spectral characteristics

中图分类号:

P585

陈圣波, 张莹, 郭鹏举, 赵莹, 谢明辉. 辽宁兴城地区岩石光谱测试及特征分析[J]. 吉林大学学报(地球科学版), 2015, 45(1): 320-326.

Chen Shengbo, Zhang Ying, Guo Pengju, Zhao Ying, Xie Minghui. Rock Spectral Measurements and Their Characterization Analysis in Xingcheng Area, Liaoning Province[J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 320-326.

参考文献

[1] 王道荣. 成像光谱偏振系统实现及在地物分类中的应用[D]. 西安:西北工业大学, 2007. Wang Rongdao. The Implementation and Application in the Feature Classification Imaging Spectrometer Polarization System[D]. Xi'an:Northwestern Polytechnical University, 2007.

[2] 袁迎辉, 林子瑜.相山铀矿田地面光谱测量数据处理与分析[J].测绘与空间地理信息, 2008, 31(3):38-42. Yuan Yinghui, Lin Ziyu. The Processing and Analysis About the Field Spectrum Measurement Data of Xiangshan Uranium Field[J]. Geomatics & Spatial Information Technology, 2008, 31(3):38-42.

[3] Hunt G R.Spectroscopic Properties of Rocks and Mi-nerals in Handbook of Physical Properties of Rocks[M].Boca Raton:CRC Press, 1982.

[4] Clark N R. Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy[EB/OL]. (1999-06-25)[2006-11-08]. http://speclab. Cr. usgs. gov.

[5] Clark N R, Roush T L. Reflectance Spectroscopy:Qu-antitative Analysis Techniques for Remote Sensing Applications[J]. Journal of Geophysical Research, 1984, 89(B7):6329-6340.

[6] Clark N R, Swayze G A, Ericlivo K, et al. Imaging Spectroscopy:Earth and Planetary Remote Sensing with USGS Tetracorder and Expert Systems[J]. Journal of Geophysical Research, 2003, 108(E12):5131.

[7] Clark N R, Swayze G A. Digital Spectral Library:Version1 (0.2~3.0 μm)[R]. Denver:US Geo-logical Survey, 1993.

[8] 国家科委国家遥感中心.中国遥感大事记(1981-1996)[M]. 兰州:兰州大学出版社, 1996. National Remote Sensing Center, State Science and Technology. China Remote Sensing Memorabilia(19811996)[M]. Lanzhou:Lanzhou University Press, 1996.

[9] 傅碧宏.遥感岩石学的研究及进展[J].地球科学进展, 1996, 11(3):252-258. Fu Bihong. Study and Recent Advances of Remote Sensing Petrology[J]. Advance in Earth Sciences, 1996, 11(3):252-258.

[10] 傅碧宏.碳酸盐岩的反射光谱特征的研究与应用[J].岩矿测试, 1996, 15(3):135-137. Fu Bihong. A Study on Reflectance Spectra Features of Carbonate Rocks and Its Application[J]. Rock and Mineral Analysis, 1996, 15(3):135-137.

[11] 丑晓伟, 傅碧宏, 郑建京.干旱区热红外多光谱遥感岩石地层信息提取与分析方法研究[J].科学通报, 1994, 39(18):1693-1695. Chou Xiaowei, Fu Bihong, Zheng Jianjing. Arid Zone Thermal Infrared Multispectral Remote Sensing Information Extraction and Analysis of Rock Formations Methods[J]. Chinese Science Bulletin, 1994, 39(18):1693-1695.

[12] 丑晓伟, 傅碧宏.干旱区TM图像岩石地层信息提取与分析方法研究[J].沉积学报, 1995, 13(增刊):164-170. Chou Xiaowei, Fu Bihong. Extraction and Analysis of Lithostratigraphic Information from Landsat Thematic Mapper Imagery in Arid Region[J]. Acta Sedimentologica Sinica. 1995, 13(Sup.):164-170.

[13] Yoshiki Ninomiya, Fu Bihong. Extracting Lithologic Information from ASTER Multispectral Thermal Infrared Data in the Northeastern Pamirs[J]. Xinjiang Geology, 2002, 2(1):22-30.

[14] 甘甫平, 王润生, 马蔼乃, 等.光谱遥感岩矿识别基础与技术研究进展[J].遥感技术与应用, 2002, 17(3):140-147. Gan Fuping, Wang Runsheng, Ma Ainai, et al. The Development and Tendency of Both Basis and Techniques of Discrimination for Minerals and Rocks Using Spectral Remote Sensing Data[J]. Remote Sensing Technology and Application, 2002, 17(3):140-147.

[15] 甘甫平, 王润生.遥感岩矿信息提取基础与技术方法研究[M].北京:地质出版社, 2004. Gan Fuping, Wang Runsheng. The Foundation and Technical Methods of Remote Sensing Rock Information Extraction[M]. Beijing:Geological Publishing House, 2004.

[16] 闫柏琨, 刘胜伟, 王润生, 等. 热红外遥感定量反演地表岩石的SiO₂含量[J].地质通报, 2006, 25(5):639-643. Yan Bokun, Liu Shengwei, Wang Runsheng, et al. Quantitative Inversion of the SiO₂ Content in Surface Rocks Using Thermal Infrared Remote Sensing[J]. Geological Bulletin of China, 2006, 25(5):639-643.

[17] 闫柏琨, 王润生, 甘甫平, 等. 热红外遥感岩矿信息提取研究进展[J]. 地球科学进展, 2005, 20(10):1116-1126. Yan Bokun, Wang Runsheng, Gan Fuping, et al. Progresses in Minerals Information Extraction Using Thermal Remote Sensing[J]. Advance in Earth Sciences, 2005, 20(10):1116-1126.

[18] 吴德文, 朱谷昌, 吴健生, 等.青海芒崖地区岩石光谱特征分析及应用[J].国土资源遥感, 2001, 50(4).28-34. Wu Dewen, Zhu Guchang, Wu Jiansheng, et al. The Analysis and Application of Spectral Characteristics of Rock Samples from Mangya Area, Qinghai Province[J]. Remote Sensing for Land & Resources, 2001, 50(4).28-34.

[19] 王钦军, 蔺启忠. 包尔图地区 ASTER遥感岩性提取[J].地理与地理信息科学, 2006, 22(2):9-12. Wang Qinjun, Lin Qizhong. Remote Sensing Lithology Identification in Baoertu Using Aster Image[J]. Geography and Geo-Information Science, 2006, 22(2):9-12.

[20] 耿新霞, 杨建民, 张玉君, 等. ASTER在浅覆盖区蚀变遥感异常信息提取中应用:以新疆西准噶尔包古图斑岩铜矿岩体为例[J].地质论评, 2008, 54(2):184-191. Geng Xinxia. Yang Jianmin, Zhang Yujun, et al. The Application of ASTER Remote Sensing Data for Extraction of Alteration Anomalies Information in Shallow Overburden Area:A Case Study of the Baoguto Porphyry Copper Deposit Intrusion in Western Junggar, Xinjiang[J]. Geological Review, 2008, 54(2):184-191.

[21] 张莹, 陈圣波, 王明常, 等. 土地利用的遥感信息变化提取研究[J]. 科学技术与工程, 2012, 12(24):5966-5970. Zhang Ying, Chen Shengbo, Wang Mingchang, et al. Research on the Land Use of Remote Sensing Information Change Extraction[J]. Science Technology and Engineering, 2012, 12(24):5966-5970.

[22] 赵同阳, 周可法, 张晓帆, 等. 基于小波变换的反射光谱分析在蛇绿岩识别中的应用研究[J]. 西北地质, 2007, 40(4):87-93. Zhao Tongyang, Zhou Kefa, Zhang Xiaofan, et al. Application of Ophiolite Reflectance Spectra in West Junggar Area Based on Wavelet Transform[J]. Northwestern Geology, 2007, 40(4):87-93.

[23] Murphy R J.The Effects of Surficial Vegetation Cover on Mineral Absorption Feature Parameters[J]. International Journal of Remote Sensing, 1995, 16(2):2153-2164.

[24] Murphy R J, Wadge G. The Effects of Vegetation on the Ability to Map Soils Using Imaging Spectrometer Data[J]. International Journal of Remote Sensing, 1994, 15(1):63-86.

[25] Rodger A, Cudahy T.Vegetation Corrected Conti-nuum Depths at 2.20 μm:An Approach for Hyperspectral Sensors[J]. Remote Sensing of Environment, 2009, 113:2243-2257.

[26] 刘超群, 马祖陆, 莫源富. 遥感岩性识别研究进展与展望[J]. 广西科学院学报, 2007, 23(2):120-128. Liu Chaoqun, Ma Zulu, Mo Yuanfu. Progress and Prospect of Study on Remote Sensing Lithologic Identification[J]. Journal of Guangxi Academy of Sciences, 2007, 23(2):120-128.

[27] 郝宇杰, 任云生, 赵华雷, 等. 黑龙江省翠宏山钨钼多金属矿床辉钼矿Re-Os同位素定年及其地质意义[J].吉林大学学报:地球科学版, 2013, 43(6):1840-1850. Hao Yujie, Ren Yunsheng, Zhao Hualei, et al.Re-Os Isotopic Dating of the Molybdenite from the Cuihongshan W-Mo Polymetalic Deposit in Heilongjiang Province and Its Geological Significance[J].Journal of Jilin University:Earth Science Edition, 2013, 43(6):1840-1850.

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