Summary
A critical sensor density threshold of at least 5 sensors per km² (40 sensors) was identified to ensure reliable local temperature zoning in vineyards, with Regression-Kriging outperforming other methods like Random Forest for high-density systems. The study, conducted over 18 months in Burgundy's Morey-Saint-Denis and Chambolle Musigny regions using 112 grape-cluster-level sensors, revealed that interpolation accuracy for maximum temperatures (Tmax) is significantly lower than for minimum temperatures (Tmin), suggesting micro-scale factors override topographical signals at high planting densities. While 40–60 sensors suffice for mapping frost-related indices, higher densities or additional covariates are needed for heat stress and thermal accumulation indices.
Citation
Bois, B., Nicolas, S., Roig Puscama, F., Giraudo, J., Rega, M., Gavrilescu, C., Jacquin-Ponsort, W., & Ouvrié, M. (2026). Methodological considerations on local temperature zoning – where to install sensors, how many sensors and what interpolation method could be used? A case study in Morey-Saint-Denis and Chambolle Musigny (Bourgogne, France). OENO One, 60(3). https://doi.org/10.20870/oeno-one.2026.60.3.9882
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World Heritage Explorer > World Heritage Research > Publications > Methodological considerations on local temperature zoning – where to install sensors, how many sensors and what interpolation method could be used? A case study in Morey-Saint-Denis and Chambolle Musigny (Bourgogne, France)