查询词典 psammitic

Therefore,the band ratio of ASTER band 4 and band 6 can effectively distinguish blueschist/greenschist and psammitic/pelitic schist.

应用ASTER band4/band6波段比值可以有效的区分开砂质/泥质片岩与蓝片岩/绿片岩。

The absorption spectrum center wavelength of dolomite is near 232 μm is shorter than 235 μm of limestone,and thus RBD7 and RBD8 can be employed effectively to identify dolomite and limestone,respectively. Felsic rocks show AlOH and Fe3+ absorption characteristics in the VNIRSWIR region,while the maficultramafic rocks show Fe2+ and Fe,MgOH absorption features,hence the use of different valence state of iron and secondary minerals can distinguish them:ASTER band2/band1 represent Fe3+ distribution,ASTER band2/band1 represent the Fe2+ distribution,RBD6 can estimate the AlOH mineral abundance. Psammitic/pelitic schist containing phengite,chlorite,stilpnomelane,as well as the weathered surface covered by clay minerals,exist characteristic absorption spectrum in the 221 μm(band 6),and has a high reflectance in 165 μm(band 4),while the blueschist/greenschist show high reflectance in the 221 μm(band 6),and it exit low reflectance in 165 μm(band 4),and blueschist/greenschist appear low ASTER band4/band6 ratio.

白云岩的CO2-3吸收谱带中心波长位于232〖KG*3〗μm，与灰岩的CO2-3 吸收谱带中心波长位置235 μm相比，具有向短波长方向移动的特点，据此可以利用RBD7、RBD8分别有效的识别白云岩和灰岩；长英质岩石显示AlOH和Fe3+ VNIRSWIR吸收特征，而基性超基性岩石显示Fe2+和Fe、MgOH特征，利用不同的铁价态和次要矿物可以区分它们：ASTER band2/band1代表了含Fe3+矿物分布信息、ASTER band5/band4代表了含Fe2+矿物分布信息、RBD6可以估计AlOH矿物的丰度；砂质/泥质片岩含较多的多硅白云母、绿泥石、黑硬绿泥石以及风化后表面覆盖的其它粘土矿物，在221 μm（band 6）存在有特征的吸收谱带，并且在165 μm（band 4）具有较高的反射率，而蓝片/绿片岩在221 μm（band 6）反射率较高，不具有明显特征吸收谱带，同时其在165 μm（band 4）反射率较低，因此蓝片/绿片岩ASTER band4/band6 比值低。

Based on the analysis of chemical composition,mineral composition and the spectral absorption characteristics of different lithostratigraphic units,the Relative Absorption BandDepthand the bandsratio method were adopted to process ASTER VisibleNear Infraredand ShortwaveInfraredmultispectral data from the east Kalpin Uplift,southwest Tian Shan. Limestone,dolomite,sandstone,blueschist/greenschist and psammitic schist/pelitic schist,in the study area were well discriminated.

基于新疆天山西南缘柯坪隆起东部不同地层单元岩石的化学组成和矿物成份以及VNIRSWIR谱域光谱吸收特征的分析，我们采用相关吸收波段深度和波段比值方法对研究区的多光谱遥感数据进行图像处理，有效区分和识别了白云岩、石灰岩、砂岩以及阿克苏群的蓝片岩—绿片岩和砂质片岩。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。