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Utilizing Soil Density Fractionation to Separate Distinct Soil Carbon Pools
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Georeferenced soil provenancing with digital signatures.

M Tighe1, N Forster2, C Guppy2

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Summary

Spectral analysis of soil can rapidly determine its origin, aiding forensics and archaeology. This non-destructive method predicts geographic coordinates directly from soil signatures, offering a promising new approach to soil provenancing.

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Area of Science:

  • Geosciences
  • Analytical Chemistry
  • Forensic Science

Background:

  • Soil provenance is critical for forensics, archaeology, and biosecurity.
  • Current methods rely on complex, expensive analyses and expert interpretation.
  • Direct soil provenancing offers a more efficient alternative.

Purpose of the Study:

  • To investigate the use of rapid, non-destructive spectral analysis for direct soil provenancing.
  • To establish a link between soil spectral signatures and georeferenced locations.
  • To evaluate multivariate regression techniques for predicting GPS coordinates from spectral data.

Main Methods:

  • Utilized portable X-ray fluorescence (pXRF) for non-destructive spectral signature acquisition.
  • Applied three multivariate regression techniques to predict GPS coordinates (Eastings and Northings).
  • Tested the approach on two nested soil datasets with minimal data preprocessing.

Main Results:

  • Successfully predicted Eastings and Northings within 20% of their range in most cases.
  • Generated 50% and 95% confidence intervals for GPS coordinate predictions.
  • Demonstrated a direct relationship between spectral signatures and georeferenced locations.

Conclusions:

  • Rapid spectral analysis is a promising tool for direct soil provenancing.
  • This non-destructive technique can reduce reliance on complex and costly analyses.
  • The method has potential applications in various environmental and forensic fields.