Hyperspectral Scanning Laboratory

Setup and working principle of the hyperspectral scanner © G. Wienhues, 2022

Our hyperspectral scanning laboratory is equipped with a state-of-the-art Specim PFD-CL-65-V10E VNIR camera, which allows us to acquire spectral data reflected from the surface of your sediment cores. Hyperspectral imaging (HS) core scanning is a powerful non-destructive technique that can reveal hidden information about your sediments at submillimeter spatial resolution.

The instrument is part of the cLab, more information on that can be found here.

HS core scanning can be used to:

  • Identify and quantify different minerals and pigments
  • Map spatial distributions of sediment components
  • Assess sediment grain size and texture
  • Detect and monitor environmental changes
  • Reconstruct past environmental conditions

HS core scanning is a valuable tool for a wide range of applications, including:

  • Paleoclimatology
  • Paleoecology
  • Geochemistry
  • Sedimentology
  • Environmental monitoring
  • Resource exploration

If you are interested in learning more about how HS core scanning can benefit your research, please contact Martin Grosjean, Aurea Chiaia-Hernández or Petra Zahajská.

Example of acquired data © P. Zahajská, 2023

In paleolimnology research we often combine HSI with high-resolution XRF scans conducted in the XRF scanning laboratory at the Institute of Geology.

Currently we are modernizing our data post-processing workflow in collaboration with Dr. Guillaume Witz from Data Science Lab. The alfa version of the python workflow is available here.

 

Examples of application:

Zander, Paul D.; Wienhues, Giulia; Grosjean, Martin (2022). Scanning Hyperspectral Imaging for In Situ Biogeochemical Analysis of Lake Sediment Cores: Review of Recent Developments. Journal of imaging, 8(3), p. 58. MDPI 10.3390/jimaging8030058

Butz, Christoph Florian; Grosjean, Martin; Fischer, Daniela; Wunderle, Stefan; Tylmann, Wojciech; Rein, Bert (2015). Hyperspectral imaging spectroscopy: a promising method for the biogeochemical analysis of lake sediments. Journal of Applied Remote Sensing, 9(1), 096031. Society of Photo-optical Instrumentation Engineers (SPIE) 10.1117/1.JRS.9.096031