Identification and classification of mineralogical associations by VNIR-SWIR spectroscopy in the Tajo basin (Spain)
| Autor: | Emilia García-Romero, Mercedes Suárez, Eduardo García-Meléndez, Javier García-Rivas |
|---|---|
| Přispěvatelé: | Ministerio de Economía y Competitividad (España), García Meléndez, E. [0000-0001-8217-8205], García Meléndez, E. |
| Rok vydání: | 2018 |
| Předmět: |
Global and Planetary Change
010504 meteorology & atmospheric sciences Soil test Near-infrared spectroscopy VNIR-SWIR spectroscopy Mineralogy Stratigraphic unit Hyperspectral imaging Remote sensing Management Monitoring Policy and Law Structural basin engineering.material 010502 geochemistry & geophysics Geologic map 01 natural sciences XRDMg-rich smectites VNIR Illite engineering Computers in Earth Sciences Geology 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 1569-8432 |
| DOI: | 10.1016/j.jag.2018.05.028 |
| Popis: | 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. Financial support by the projects CGL2016-77005-R and ESP2017-89045-R of the Spanish Ministerio de Economía y Competitividad projects. Javier García-Rivas thanks the Spanish Ministerio de Economía y Competitividad for the BES-2013-065092 grant. |
| Databáze: | OpenAIRE |
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