Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland

Oberholzer, Simon; Summerauer, Laura; Steffens, Markus; Ifejika Speranza, Chinwe

doi:https://doi.org/10.5194/soil-10-231-2024

Articles | Volume 10, issue 1

https://doi.org/10.5194/soil-10-231-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/soil-10-231-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

Short communication

|

10 Apr 2024

Short communication |

| 10 Apr 2024

Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland

Simon Oberholzer, Laura Summerauer, Markus Steffens, and Chinwe Ifejika Speranza

Supplement

https://doi.org/10.5194/soil-10-231-2024-supplement

Data sets

Dataset and R-codes for Publication: "Best performances of visible-near infrared models in soils with little carbonate - a field study in Switzerland" Simon Oberholzer and Laura Summerauer https://doi.org/10.5281/zenodo.10691694

Model code and software

Dataset and R-codes for Publication: "Best performances of visible-near infrared models in soils with little carbonate - a field study in Switzerland" Simon Oberholzer and Laura Summerauer https://doi.org/10.5281/zenodo.10691694

Short summary

This study investigated the performance of visual and near-infrared spectroscopy in six fields in Switzerland. Spectral models showed a good performance for soil properties related to organic matter at the field scale. However, spectral models performed best in fields with low mean carbonate content because high carbonate content masks spectral features for organic carbon. These findings help facilitate the establishment and implementation of new local soil spectroscopy projects.