Preprints
https://doi.org/10.5194/soil-2018-12
https://doi.org/10.5194/soil-2018-12
05 Jun 2018
 | 05 Jun 2018
Status: this preprint was under review for the journal SOIL. A revision for further review has not been submitted.

Mapping homogeneous spectral response zones in a soil profile

Edward J. Jones and Alex B. McBratney

Abstract. Homogeneous spectral response zones represent relatively uniform regions of soil that may be useful for identifying soil horizons or delineating soil units spatially. External parameter orthogonalisation (EPO) and direct standardisation (DS) were assessed for their ability to conserve intrinsic soil information of spectra under variable moisture conditions, as experienced when taking measurements in situ. A 1 m × 1 m section of a soil profile was intensively sampled using visible near-infrared diffuse reflectance spectroscopy at 2.5 cm vertical intervals and 10 cm horizontal intervals. Further samples were taken on a 10 cm grid and scanned in a laboratory under field moist and air-dry conditions. A principal component space was constructed based on the in situ scans following either EPO transformation, DS transformation or following pre-processing only (PP). Scores from the first four principal components – which accounted for more than 0.97 of the total variance in each case – were subject to k-means clustering to identify homogeneous spectral response zones. Laboratory-based scans were then projected onto the same principal component space and fitted to the pre-existing cluster centroids. Both EPO and DS were found to have potential in reconciling differences observed between in situ and laboratory-based measurements compared to pre-processing only (PP). EPO outperformed DS in terms of conserving the relationship between PC scores (LCCC: EPO = 0.84, DS = 0.58, PPO = 0.44; RMSE: EPO = 11.8, DS = 15.4, PPO = 38.5) and also in identifying homogeneous spectral response zones that corresponded to field observed horizons.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Edward J. Jones and Alex B. McBratney
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Edward J. Jones and Alex B. McBratney
Edward J. Jones and Alex B. McBratney

Viewed

Total article views: 1,358 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
814 435 109 1,358 108 118
  • HTML: 814
  • PDF: 435
  • XML: 109
  • Total: 1,358
  • BibTeX: 108
  • EndNote: 118
Views and downloads (calculated since 05 Jun 2018)
Cumulative views and downloads (calculated since 05 Jun 2018)

Viewed (geographical distribution)

Total article views: 1,228 (including HTML, PDF, and XML) Thereof 1,214 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Variable soil moisture content is one of the main factors limiting field application of visible near-infrared spectroscopy. External parameter orthogonalisation of soil spectra was found to conserve intrinsic soil information under variable moisture conditions. k-means clustering of treated spectra yielded similar classifications under in situ, field moist (laboratory) and air-dried condition. Homogeneous spectral response zones were identified that corresponded with field observed horizons.