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Identification and classification of mineralogical associations by VNIR-SWIR spectroscopy in the Tajo basin (Spain)
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2018-06-06 , DOI: 10.1016/j.jag.2018.05.028
Javier García-Rivas , Mercedes Suárez , Emilia García-Romero , Eduardo García-Meléndez

41 soil samples were collected at the Tajo Basin (Spain), in an area where Mg-rich clays are benefitted, whit the aim of studying their spectral response in the Visible, Near Infrared (VNIR) – Short Wave Infrared (SWIR) range (350–2500 nm) in terms of mineralogical composition and exploring the possibility of using these data as the basis of a geological mapping through hyperspectral imaging in this wavenumber interval in future research. The samples, belonging to nine different stratigraphic units, were characterized by X-Ray diffraction and VNIR – SWIR laboratory reflectance spectroscopy. The mineralogical associations are formed by complex mixtures of carbonates, gypsum, quartz, feldspars, illite, and smectites in variable proportions depending on the stratigraphic unit. The samples were classified into different groups and subgroups according to their spectral response. The resulting groups allow to extrapolate certain type-spectra to different mineralogical associations corresponding to the stratigraphic units sampled within the area of study. This work is of upmost importance for future works through remote-sensing techniques using VNIR – SWIR imaging of the area. The classification of the samples in different groups, according to their spectral response, and their attribution to the different stratigraphic units sampled, according to their mineralogical content, could help improve the geological mapping of the area of study as well as detecting deposits of Mg-rich clays of economic interest.



中文翻译:

塔霍盆地(西班牙)的VNIR-SWIR光谱学对矿物学联合体的鉴定和分类

在塔霍盆地(西班牙)的一个富含镁的粘土受益地区收集了41个土壤样品,目的是研究它们在可见,近红外(VNIR)–短波红外(SWIR)范围内的光谱响应( 350-2500 nm)的矿物学组成,并探索在未来的研究中使用这些数据作为在此波数间隔中通过高光谱成像进行地质测绘的基础的可能性。这些样品属于9个不同的地层单位,通过X射线衍射和VNIR – SWIR实验室反射光谱进行了表征。矿物学联系是由碳酸盐,石膏,石英,长石,伊利石和蒙脱石的复杂混合物以不同的比例(取决于地层单位)形成的。根据样品的光谱响应将其分为不同的组和子组。结果组允许将某些类型光谱外推到与研究区域内采样的地层单位相对应的不同矿物学联系上。这项工作对于未来使用该区域的VNIR – SWIR成像的遥感技术而言,具有至关重要的意义。根据样品的光谱响应将样品分为不同的组,并根据其矿物学含量将其归因于所采样的不同地层单位,这将有助于改善研究区域的地质图以及检测Mg-具有经济利益的丰富粘土。结果组允许将某些类型光谱外推到与研究区域内采样的地层单位相对应的不同矿物学联系上。这项工作对于未来使用该区域的VNIR – SWIR成像的遥感技术而言,具有至关重要的意义。根据样品的光谱响应将样品分为不同的组,并根据其矿物学含量将其归因于所采样的不同地层单位,这将有助于改善研究区域的地质图以及检测Mg-具有经济利益的丰富粘土。结果组允许将某些类型光谱外推到与研究区域内采样的地层单位相对应的不同矿物学联系上。这项工作对于未来使用该区域的VNIR – SWIR成像的遥感技术而言,具有至关重要的意义。根据样品的光谱响应将样品分为不同的组,并根据其矿物学含量将其归因于所采样的不同地层单位,这将有助于改善研究区域的地质图以及检测Mg-具有经济利益的丰富粘土。

更新日期:2018-06-06
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