Discrimination between Sedimentary Rocks from Close-Range Visible and Very-Near-Infrared Images

PLoS One. 2015 Jul 6;10(7):e0132471. doi: 10.1371/journal.pone.0132471. eCollection 2015.

Abstract

Variation in the mineral composition of rocks results in a change of their spectral response capable of being studied by imaging spectroscopy. This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR) multispectral camera for the recognition of different geological formations. The spectral data was recorded by a Tetracam Mini-MCA-6 camera mounted on a field-based platform covering six bands in the spectral range of 0.530-0.801 µm. Twelve sedimentary formations were selected in the Rhône-Alpes region (France) to analyse the discrimination potential of this camera for rock types and close-range mapping applications. After proper corrections and data processing, a supervised classification of the multispectral data was performed trying to distinguish four classes: limestones, marlstones, vegetation and shadows. After a maximum-likelihood classification, results confirmed that this camera can be efficiently exploited to map limestone-marlstone alternations in geological formations with this mineral composition.

MeSH terms

  • Geologic Sediments / chemistry*
  • Spectrophotometry, Infrared / methods

Grants and funding

The authors have no support or funding to report.