Lithology Identification of the North Qilian Belt by Surface Temperature and Spectral Emissivity Information Derived from ASTER TIR Data

Qin Yang, Xiangnan Liu, Xuqing Li, Chao Ding, Fan Yang
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引用次数: 6

Abstract

Lithology units have been identified in northern Qilian belt by using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared (TIR)L1B data which contains both surface temperature and spectral emissivity information. As mafic-to-untramafic units have higher surface temperature than other geologic units, surface temperature images were generated to identify the dolerite and peridotite etc. Reference to analysis of thermal spectra characteristics of geological units from JHU spectral library, a new ASTER colored composite band ratio combination band 11/12: band 12/10: band 12/14 as R:G:B was applied successfully to distinguish quartz-rich felsic units and feldspathic rocks from the large meadow in the study area , with the band ratio and de-correlation techniques. To clarify the geological boundaries and remove the vegetation effect more effective, NDVI image and false color composite image composed of band 3: band 2 : band 1 visible to near infrared bands were also generated. The result indicated that combination of TIR FCC image, VNIR FCC image, temperature image and NDVI image for the study lithology mapping works well and matches the field geological
基于ASTER - TIR数据的地表温度和光谱发射率信息的北祁连带岩性识别
利用先进星载热发射与反射辐射计(ASTER)热红外(TIR)L1B数据,结合地表温度和光谱发射率信息,对祁连北部岩性单元进行了识别。由于复合-非交通单元的地表温度高于其他地质单元,因此生成了地表温度图像,用于识别玄武岩、橄榄岩等。参考JHU光谱库中地质单元热谱特征分析,应用一种新的ASTER彩色复合波段比组合(波段11/12:波段12/10:波段12/14为R:G:B),结合波段比和去相关技术,成功区分了研究区大型草甸中富石英长英质单元和长石岩。为了更有效地澄清地质边界,去除植被效应,还生成了NDVI图像和可见光至近红外波段3、2、1的假彩色复合图像。结果表明,结合TIR FCC图像、VNIR FCC图像、温度图像和NDVI图像进行研究岩性填图效果较好,与现场地质情况吻合较好
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