首页> 外文期刊>Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration >Mafic-ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function
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Mafic-ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function

机译:使用普朗克函数的线性近似从ASTER热红外数据推导出的镁铁质-超镁铁质和富含石英的岩石指数

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ASTER thermal infrared (TIR) data are widely used to detect mafic-ultramafic rock and quartz-rich rock, and several rock indices have been proposed based on emissivity features. However, ASTER TIR bands of radiance data correlate highly with each other, which indicates that the independent information derived from different bands may be limited, what's more, ASTER TIR radiance-at-sensor data contain atmospheric effect and temperature information, thus interfering with the availability of these previously proposed indices. In this study, we aim to explain the correlation using a linear approximation of the Planck function and deduce a linear equation that represents the relationship of the radiance between two TIR bands. Theoretical difference indices were deduced based on the linear equation and regression residual characteristics for any two ASTER TIR radiance bands. The study area is located in Qinghai Province, China, and belongs to the Qinghai-Tibet Plateau, where the average elevation is approximately 4200 m. A scatter plot of radiance derived from the ASTER image that overlaps the study area indicates that mafic-ultramafic rock and quartz-rich rock can be distinguished from other surface objects well. Two mafic-ultramafic rock indices (MI_1, = b13 - 0.9147 * b10 - 1.4366 and MI_2= bl3 - 0.8945 ? b11 - 1.2404) and two quartz-rich rock indices (QI_1 = b13 - 0.9261 ? b12 - 1.4623 and QI_2 = bl4 - 0.844 * b12 - 1.8971) were proposed; they satisfactorily map these rock units. The atmospheric effect on the indices is weak in arid or high-elevation region, so it will not interfere with the indices obviously in these regions. One-way variance analysis was performed to discuss the stability of the indices with respect to temperature. The mafic-ultramafic rock indices are found to be independent of temperature, whereas the values of quartz-rich rock indices increase with the rising of temperature. We thus conclude that the quartz-rich rock indices are suitable for the high-elevation region only, while the mafic-ultramafic rock indices may be capable of detecting these rocks in regions with different natural conditions.
机译:ASTER热红外(TIR)数据已被广泛用于检测铁镁铁-超镁铁质岩石和富含石英的岩石,并且已根据发射率特征提出了几种岩石指标。但是,辐射数据的ASTER TIR波段彼此高度相关,这表明来自不同波段的独立信息可能受到限制,而且,ASTER TIR传感器的辐射亮度数据包含大气效应和温度信息,因此干扰了这些先前提出的索引的可用性。在这项研究中,我们旨在使用普朗克函数的线性逼近来解释相关性,并推导一个线性方程,该线性方程表示两个TIR波段之间的辐射率关系。基于线性方程和回归残差特性,针对任意两个ASTER TIR辐射带推导出理论差异指数。研究区域位于中国青海省,属于青藏高原,平均海拔约为4200 m。从ASTER图像得出的与研究区域重叠的辐射散点图表明,镁铁矿-超镁铁质岩石和富含石英的岩石可以与其他表面物体区分开。两个镁铁质超岩石岩石指数(MI_1,= b13-0.9147 * b10-1.4366和MI_2 = bl3-0.8945?b11-1.2404)和两个富含石英的岩石指数(QI_1 = b13-0.9261?b12-1.4623和QI_2 = bl4-提出了0.844 * b12-1.8971);他们令人满意地绘制了这些岩石单元的图。在干旱或高海拔地区,大气对指标的影响较弱,因此不会明显干扰这些地区的指标。进行单向方差分析以讨论指标相对于温度的稳定性。发现镁铁质-超拉莫非岩的岩石指数与温度无关,而富含石英的岩石指数的值随温度的升高而增加。因此,我们得出的结论是,富含石英的岩石指数仅适用于高海拔地区,而镁铁质-超镁铁质岩石指数可能能够在具有不同自然条件的区域中检测到这些岩石。

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