Hyperspectral proximal sensing for carbonate rocks characterization in the SWIR (Short-Wave Infrared)

Authors

  • Indira Rodríguez Grupo de Investigación Geología Ambiental, Cuaternario y Geodiversidad (Q-GEO), Facultad de Ciencias Biológicas y Ambientales, Universidad de León
  • Eduardo García-Meléndez Grupo de Investigación Geología Ambiental, Cuaternario y Geodiversidad (Q-GEO), Facultad de Ciencias Biológicas y Ambientales, Universidad de León
  • Montserrat Ferrer-Juliá Grupo de Investigación Geología Ambiental, Cuaternario y Geodiversidad (Q-GEO), Facultad de Ciencias Biológicas y Ambientales, Universidad de León
  • Wim Bakker Department of Applied Earth Sciences, Faculty of Geo information Science & Earth Observation (ITC), University Twente, The Netherlands
  • Juncal Altagracia Cruz Grupo de Investigación Geología Ambiental, Cuaternario y Geodiversidad (Q-GEO), Facultad de Ciencias Biológicas y Ambientales, Universidad de León
  • Antonio Espín de Gea Unidad Tecnológica Geológico-Minera del Centro Tecnológico del Mármol, Piedra y Materiales (CTM), Murcia

DOI:

https://doi.org/10.55407/geogaceta108997

Keywords:

imaging espectrometry, spectral signature, mineral composition

Abstract

In this work proximal hyperspectral images are used to make a compositional map of one sample of ornamental carbonate rock (formed by variable content of dolomite and calcite) in terms of mineralogical composition. The hyperspectral dataset consists of a total number of 278 bands corresponding to the short-wave infrared (SWIR) wavelengths. After visual analysis and interpretation, 8 points or pixels were selected as reference spectra for image classification through the Spectral Angle Mapper (SAM) algorithm. The results show the spatial distribution of calcite and dolomite based on their characteristic and diagnostic absorption features (at 2335 and 2315 nm respectively), and areas with different proportions of calcite and dolomite mixture, and the presence of carbonates and clay mineral mixtures. The applied technique demonstrates the potential of hyperspectral proximal sensing procedures for mineral characterization of samples in the laboratory, expanding the application for the analysis and interpretation in field outcrops.

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Published

2025-06-20

How to Cite

Rodríguez , I., García-Meléndez, E., Ferrer-Juliá, M., Bakker, W., Cruz, J. A., & Espín de Gea, A. (2025). Hyperspectral proximal sensing for carbonate rocks characterization in the SWIR (Short-Wave Infrared). GEOGACETA, 77, 55–58. https://doi.org/10.55407/geogaceta108997

Issue

Vol. 77 (2025): January-June

Section

Artículos

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Copyright (c) 2025 Indira Rodríguez Álvarez, Eduardo García-Meléndez, Montserrat Ferrer-Juliá, Wim Bakker, Juncal Altagracia Cruz, Antonio Espín de Gea

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