Remote Sensing Identification of Marble in Mazha Tectonic Mélange of West Kunlun Orogen

doi:10.19657/j.geoscience.1000-8527.2021.037

Abstract

Abstract:

In order to study the usage of remote sensing technology to identify tectonic mélanges, we took the Mazha tectonic mélange in the West Kunlun Orogen as an example. The marble in the mélange was analyzed for their spectral characteristics. The ETM⁺ image spectral inversion method was used to establish the linear relations between the measured spectrum and image spectrum. Assisted with enhanced transformation processing, the gray-scale distinction of different lithologies was expanded, the target information was highlighted and the image effect improved. Our work has also enhanced the utilization of measured spectrum and the accuracy of lithological information extraction. This method can be used to recognize the marble in Mazha tectonic mélange of the West Kunlun Orogen.

Key words: Mazha tectonic mélange, remote sensing, spectrum inversion, ETM⁺ image

CLC Number:

P588.3

CHEN Haiyun, QI Rui, ZHANG Zhi. Remote Sensing Identification of Marble in Mazha Tectonic Mélange of West Kunlun Orogen[J]. Geoscience, 2022, 36(01): 259-265.

Figures/Tables 5

Fig.1 Geological map of Mazha tectonic mélange in West Kunlun Orogen

Fig.2 Carbonate mineral spectral image (from USGS spectral library)

Fig.3 Image enhancement effect of marble in Mazha tectonic mélange (highlight area)

Fig.4 Marble recognition effect image in Mazha tectonic mélange (ETM+741)

Fig.5 Field geological photos of marble in Mazha tectonic mélange

References 16

[1]	HUNT G R. Spectroscopic Properties of Rocks and Minerals in Handbook of Physical Properties of Rocks: Volume[M]. Boca Raton: CRC Press, 1982: 51-73.
[2]	金剑, 田淑芳, 焦润成, 等. 基于地物光谱分析的WorldView-2数据岩性识别:以新疆乌鲁克萨依地区为例[J]. 现代地质, 2013, 27(2): 489-496.
[3]	CLARK N R. Spectroscopy of rocks and minerals, and principles of spectroscopy[R/DB]. Washington:USGS, 2006. http://speclab.Cr.usgs.gov .
[4]	王冬寅, 朱谷昌, 张远飞. 典型地物光谱空间结构特征与基本统计参数分析[J]. 国土资源遥感, 2012, 24(4):138-145.
[5]	王冬寅. 典型地物的实测光谱数据分析与遥感蚀变信息提取研究[D]. 长沙: 中南大学, 2012.
[6]	李博秦, 计文化, 边小卫, 等. 西昆仑麻扎构造混杂岩的组成及其地质意义[J]. 现代地质, 2007, 21(1): 78-86.
[7]	姜春发, 杨经绥, 冯秉贵, 等. 昆仑开合构造[M]. 北京: 地质出版社, 1992.
[8]	李永安, 李向东, 孙东江, 等. 中国新疆西南部喀喇昆仑羌塘地块及康西瓦构造带构造演化[M]. 乌鲁木齐: 新疆科技卫生出版社, 1995.
[9]	计文化, 韩芳林, 王巨川, 等. 西昆仑于田南部苏巴什蛇绿混杂岩的组成、地球化学特征及地质意义[J]. 地质通报, 2004, 23(12): 1196-1201.
[10]	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.
[11]	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: 23-42.
[12]	常建华, 董绮功. 波谱原理及解析[M]. 北京: 科学出版社, 2001:2-4.
[13]	夏清, 杨武年, 赵妮. 青藏大陆北缘盆山耦合带库斯拉甫地区遥感蚀变信息提取[J]. 国土资源遥感, 2014, 26(1):127-131.
[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.
[15]	邓捷, 白亚辉, 吕凤军. 比值法遥感蚀变信息提取及阈值确定[J]. 地质学刊, 2017, 41(3):504-510.
[16]	吴志春, 叶发旺, 郭福生, 等. 主成分分析技术在遥感蚀变信息提取中的应用研究综述[J]. 地球信息科学学报, 2018, 20(11):1644-1656. DOI