Prediction of peat properties from transmission mid-infrared spectra

Teickner, Henning; Knorr, Klaus-Holger

doi:10.5194/soil-12-497-2026

Articles | Volume 12, issue 1

https://doi.org/10.5194/soil-12-497-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/soil-12-497-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Original research article

|

27 Apr 2026

Original research article |

| 27 Apr 2026

Prediction of peat properties from transmission mid-infrared spectra

Henning Teickner and Klaus-Holger Knorr

Supplement

https://doi.org/10.5194/soil-12-497-2026-supplement

Data sets

Peatland Mid-Infrared Database (1.0.0) H. Teickner et al. https://doi.org/10.5281/zenodo.17092587

Gap-filled subset of the Peatland Mid-Infrared Database (1.0.0) H. Teickner and K.-H. Knorr https://doi.org/10.5281/zenodo.17187559

Compendium of R code and data for "Prediction of Peat Properties from Transmission Mid-Infrared Spectra" H. Teickner and K.-H. Knorr https://doi.org/10.5281/zenodo.17209177

Model code and software

Compendium of R code and data for "Prediction of Peat Properties from Transmission Mid-Infrared Spectra" H. Teickner and K.-H. Knorr https://doi.org/10.5281/zenodo.17209177

irpeatmodels: Mid-infrared prediction models for peat H. Teickner https://doi.org/10.5281/zenodo.17187912

irpeat 0.3.0: Functions to Analyze Mid-Infrared Spectra of Peat Samples H. Teickner and S. Hodgkins https://doi.org/10.5281/zenodo.17200517

Short summary

We developed models that predict physical and chemical peat properties from mid-infrared spectra (MIRS). These peat properties are necessary for modeling peatland dynamics. Compared to direct measurements of these properties, measurements of MIRS require less sample material and save time. Unlike existing models that focus on peat, the models developed here are openly available, relatively easy to use and have basic quality checks and estimates for prediction errors.