SOIL
SOIL
SOIL
Articles | Volume 7, issue 1
Articles | Volume 7, issue 1
https://doi.org/10.5194/soil-7-193-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-7-193-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 1
Original research article
 | 
14 Jun 2021
Original research article |  | 14 Jun 2021

Quantifying soil carbon in temperate peatlands using a mid-IR soil spectral library

Anatol Helfenstein, Philipp Baumann, Raphael Viscarra Rossel, Andreas Gubler, Stefan Oechslin, and Johan Six

Viewed

Total article views: 2,606 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,695 851 60 2,606 33 37
  • HTML: 1,695
  • PDF: 851
  • XML: 60
  • Total: 2,606
  • BibTeX: 33
  • EndNote: 37
Views and downloads (calculated since 08 Jan 2021)
Cumulative views and downloads (calculated since 08 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,606 (including HTML, PDF, and XML) Thereof 2,466 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
In this study, we show that a soil spectral library (SSL) can be used to predict soil carbon at new and very different locations. The importance of this finding is that it requires less time-consuming lab work than calibrating a new model for every local application, while still remaining similar to or more accurate than local models. Furthermore, we show that this method even works for predicting (drained) peat soils, using a SSL with mostly mineral soils containing much less soil carbon.
Read more