Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.182 IF 1.182
  • IF 5-year value: 1.437 IF 5-year
    1.437
  • CiteScore value: 3.0 CiteScore
    3.0
  • SNIP value: 0.686 SNIP 0.686
  • IPP value: 1.36 IPP 1.36
  • SJR value: 0.538 SJR 0.538
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 11 Scimago H
    index 11
  • h5-index value: 13 h5-index 13
Volume 6, issue 2
Geosci. Instrum. Method. Data Syst., 6, 429–437, 2017
https://doi.org/10.5194/gi-6-429-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Instrum. Method. Data Syst., 6, 429–437, 2017
https://doi.org/10.5194/gi-6-429-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Oct 2017

Research article | 18 Oct 2017

Automated mineralogy based on micro-energy-dispersive X-ray fluorescence microscopy (µ-EDXRF) applied to plutonic rock thin sections in comparison to a mineral liberation analyzer

Wilhelm Nikonow and Dieter Rammlmair

Related subject area

Ground-based instruments
Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications
Angelika Xaver, Luca Zappa, Gerhard Rab, Isabella Pfeil, Mariette Vreugdenhil, Drew Hemment, and Wouter Arnoud Dorigo
Geosci. Instrum. Method. Data Syst., 9, 117–139, https://doi.org/10.5194/gi-9-117-2020,https://doi.org/10.5194/gi-9-117-2020, 2020
Short summary
A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments
Maximilian Weigand, Florian M. Wagner, Jonas K. Limbrock, Christin Hilbich, Christian Hauck, and Andreas Kemna
Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2020-5,https://doi.org/10.5194/gi-2020-5, 2020
Revised manuscript accepted for GI
Short summary
Development of a new distributed hybrid seismic and electrical data acquisition station based on system-on-a-programmable-chip technology
Qisheng Zhang, Wenhao Li, Feng Guo, Zhenzhong Yuan, Shuaiqing Qiao, and Qimao Zhang
Geosci. Instrum. Method. Data Syst., 8, 241–249, https://doi.org/10.5194/gi-8-241-2019,https://doi.org/10.5194/gi-8-241-2019, 2019
Short summary
Development of a distributed hybrid seismic–electrical data acquisition system based on the Narrowband Internet of Things (NB-IoT) technology
Wenhao Li, Qisheng Zhang, Qimao Zhang, Feng Guo, Shuaiqing Qiao, Shiyang Liu, Yueyun Luo, Yuefeng Niu, and Xing Heng
Geosci. Instrum. Method. Data Syst., 8, 177–186, https://doi.org/10.5194/gi-8-177-2019,https://doi.org/10.5194/gi-8-177-2019, 2019
Short summary
A low-cost autonomous rover for polar science
Andrew O. Hoffman, Hans Christian Steen-Larsen, Knut Christianson, and Christine Hvidberg
Geosci. Instrum. Method. Data Syst., 8, 149–159, https://doi.org/10.5194/gi-8-149-2019,https://doi.org/10.5194/gi-8-149-2019, 2019
Short summary

Cited articles

Belissont, R., Muñoz, M., Boiron, M.-C., Luais, B., and Mathon, O.: Distribution and oxidation state of Ge, Cu and Fe in sphalerite by µ-XRF and K-edge µ-XANES: insights into Ge incorporation, partitioning and isotopic fractionation, Geochim. Cosmochim. Acta, 177, 298–314, 2016.
Carr, J. R. and Hibbard, M.: Open-ended mineralogical/textural rock classification, Comput. Geosci., 17, 1409–1463, 1991.
Congalton, R. G.: A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35–46, 1991.
Croudace, I. W. and Rothwell, R. G.: Micro-XRF Studies of Sediment Cores: Applications of a non-destructive tool for the environmental sciences, Springer, 2015.
Deer, W., Howie, R., and Zussman, J.: An introduction to the rock-forming minerals, The Mineralogical Society, London, 2013.
Publications Copernicus
Download
Short summary
This work describes a new approach to use fast X-ray fluorescence mapping as a tool for automated mineralogy applied on thin sections of plutonic rocks. Using a supervised classification of the spectral information, mineral maps are obtained for modal mineralogy and image analysis. The results are compared to a conventional method for automated mineralogy, which is scanning electron microscopy with mineral liberation analyzer, showing a good overall accuracy of 76 %.
This work describes a new approach to use fast X-ray fluorescence mapping as a tool for...
Citation