Articles | Volume 14, issue 2
https://doi.org/10.5194/gi-14-193-2025
https://doi.org/10.5194/gi-14-193-2025
Research article
 | 
02 Sep 2025
Research article |  | 02 Sep 2025

A free, open-source method for automated mapping of quantitative mineralogy from energy-dispersive X-ray spectroscopy scans of rock thin sections

Miles M. Reed, Ken L. Ferrier, William O. Nachlas, Bil Schneider, Chloé Arson, Tingting Xu, Xianda Shen, and Nicole West

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-1017', Anonymous Referee #1, 25 Apr 2024
  • CC1: 'Comment on egusphere-2024-1017 minor revision, addition of one figure', Bernhard Schulz, 17 Jul 2024
  • RC2: 'Comment on egusphere-2024-1017', Anonymous Referee #2, 09 Feb 2025
  • AC1: 'Responses to referee and public comments on egusphere-2024-1017', Miles Reed, 24 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Miles Reed on behalf of the Authors (24 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (07 Jun 2025) by Francesco Soldovieri
AR by Miles Reed on behalf of the Authors (11 Jun 2025)  Manuscript 
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Short summary
We constructed an easy-to-use, open-source method for mapping minerals in rock thin sections. We implemented the method within the geographical information system QGIS and the Orfeo ToolBox plugin using random forest image classification on scanning electron microscope data. We applied the method to 14 rock thin sections. Mineral abundance estimates from our method compare favorably to previously published estimates, and 96 % spatially and categorically agree with manually derived mineral maps.
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