SpectraTransformations

Spectral transformations

Embedded within the C4S platform are algorithms to harmonize and standardize soil spectra. Well-established approaches in the field of soil spectroscopy are integrated to achieve this, including spectral range trimming, resampling and baseline correction, together with advanced methods to mitigate effects of soil moisture and other environmental interferences (Wadoux et al., 2021, Wijewardane et al., 2016).

References

Moloney JP, Searle R, Malone BP, Dino A, Karunaratne S, Benn D, Stockmann U (2026) The Soil Spectral Selection System: A Practical Platform to operationalise Soil Spectroscopy. Computers and Electronics in Agriculture. Submitted.

Stockmann U, Moloney J, Searle R, Dino A, Malone B, Karunaratne S, Benn D, Glover M, Zhao T (2025) Australia’s national soil spectral library empowering rapid Soil Organic Carbon measurement. End of Project Outcomes Summary Report. Department of Climate Change, Energy, the Environment and Water (DCCEEW) National Soil Carbon Innovation Challenge (NSCIC) Development and Demonstration Grant Round 2 Project SCICDDII000042. CSIRO, Australia.

Wadoux AJC, Malone B, Minasny B, Fajardo M, McBratney A (2021) Soil Spectral Inference with R. Springer Cham, Switzerland.

Wijewardane NK, Ge Y, Morgan CLS (2016) Prediction of soil organic and inorganic carbon at different moisture contents with dry ground VNIR: a comparative study of different approaches. European Journal of Soil Science, 67(5), 605-615.