Fwd: [Pedometrics] Best paper in pedometrics 2024 -- winner

[TACIARA ZBOROWSKI HORST]

Dear Pedometricians,

We had received a total of 17 nominations for the Best Paper in Pedometrics 2024. The shortlisted nominees were (in the first author’s name in alphabetical order):

• Grunwald, S., Murad, M.O.F., Farrington, S., Wallace, W. and Rooney, D., 2024. Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties. Sensors, 24(21), p.6855.
• Szatmári, G., Pásztor, L., Takács, K., Mészáros, J., Benő, A. and Laborczi, A., 2024. Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary. Geoderma, 451, p.117067.
• van der Westhuizen, S., Heuvelink, G.B., Hofmeyr, D.P., Poggio, L., Nussbaum, M. and Brungard, C., 2024. Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning. European Journal of Soil Science, 75(5), p.e13589.
• Viscarra Rossel, R.A., Webster, R., Zhang, M., Shen, Z., Dixon, K., Wang, Y.P. and Walden, L., 2024. How much organic carbon could the soil store? The carbon sequestration potential of Australian soil. Global Change Biology, 30(1), p.e17053.
• Zhang, L., Heuvelink, G.B., Mulder, V.L., Chen, S., Deng, X. and Yang, L., 2024. Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time. Science of the Total Environment, 922, p.170778.

Based on the votes of the Award and Extended Award committee, the winner is:

Zhang, L., Heuvelink, G.B.M., Mulder, V.L., Chen, S., Deng, X. and Yang, L., 2024. Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time. Science of the Total Environment, 922, p.170778.

This paper was nominated by Alexandre Wadoux. Note that a co-author of a paper is not allowed to vote for his/her own paper. For information on the process and committee members, please check http://pedometrics.org/awards/.  

Taciara Zborowski Horst
Professora & Pesquisadora
Ciência do Solo
www.pedometria.org

Universidade Tecnológica Federal do Paraná (UTFPR)
Campus Dois Vizinhos, Paraná, Brasil
http://www.utfpr.edu.br/campus/doisvizinhos

---------- Forwarded message ---------
From: Alexandre Wadoux via Pedometrics <pedom...@mailman.sydney.edu.au>
Date: Fri, Aug 8, 2025 at 6:06 AM
Subject: [Pedometrics] Best paper in pedometrics 2024 -- winner
To: pedom...@mailman.sydney.edu.au <pedom...@mailman.sydney.edu.au>

Dear Pedometricians,

We had received a total of 17 nominations for the Best Paper in Pedometrics 2024. The shortlisted nominees were (in the first author’s name in alphabetical order):

• Grunwald, S., Murad, M.O.F., Farrington, S., Wallace, W. and Rooney, D., 2024. Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties. Sensors, 24(21), p.6855.
• Szatmári, G., Pásztor, L., Takács, K., Mészáros, J., Benő, A. and Laborczi, A., 2024. Space-time modelling of soil organic carbon stock change at multiple scales: Case study from Hungary. Geoderma, 451, p.117067.
• van der Westhuizen, S., Heuvelink, G.B., Hofmeyr, D.P., Poggio, L., Nussbaum, M. and Brungard, C., 2024. Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning. European Journal of Soil Science, 75(5), p.e13589.
• Viscarra Rossel, R.A., Webster, R., Zhang, M., Shen, Z., Dixon, K., Wang, Y.P. and Walden, L., 2024. How much organic carbon could the soil store? The carbon sequestration potential of Australian soil. Global Change Biology, 30(1), p.e17053.
• Zhang, L., Heuvelink, G.B., Mulder, V.L., Chen, S., Deng, X. and Yang, L., 2024. Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time. Science of the Total Environment, 922, p.170778.

Based on the votes of the Award and Extended Award committee, the winner is:

Zhang, L., Heuvelink, G.B.M., Mulder, V.L., Chen, S., Deng, X. and Yang, L., 2024. Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time. Science of the Total Environment, 922, p.170778.

This paper was nominated by Alexandre Wadoux. Note that a co-author of a paper is not allowed to vote for his/her own paper. For information on the process and committee members, please check http://pedometrics.org/awards/.  

Congratulations to the winner!

Best wishes,

Alexandre Wadoux

Chair of the IUSS Pedometrics commission