Articles | Volume 12, issue 1
https://doi.org/10.5194/soil-12-665-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-12-665-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
19 May 2026
Original research article |
| 19 May 2026
| 19 May 2026
Improvement of soil properties maps using an iterative residual correction method
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27705, USA
Elia Scudiero
Department of Environmental Sciences, University of California Riverside, Riverside, CA 92521, USA
United States Department of Agriculture – Agricultural Research Service, George E. Brown Jr. Salinity Laboratory, Agricultural Water Efficiency and Salinity Research Unit, Riverside, CA 92507, USA
Ray Anderson
United States Department of Agriculture – Agricultural Research Service, George E. Brown Jr. Salinity Laboratory, Agricultural Water Efficiency and Salinity Research Unit, Riverside, CA 92507, USA
Department of Environmental Sciences, University of California Riverside, Riverside, CA 92521, USA
Nathaniel Chaney
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27705, USA
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Short summary
Accurate soil information is vital. This study developed a method to improve existing probabilistic soil maps, spatially continuous maps providing prior estimates, by correcting their probability distributions as new soil data emerges. By iteratively adjusting previous predictions, the method increases both accuracy and certainty of soil maps. Its application in California enhanced predictions for several soil properties. This method can be further used for more soil properties and regions.
Accurate soil information is vital. This study developed a method to improve existing...
