SOIL
SOIL
SOIL
Articles | Volume 12, issue 1
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.
https://doi.org/10.5194/soil-12-665-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 1
Original research article
 | 
19 May 2026
Original research article |  | 19 May 2026

Improvement of soil properties maps using an iterative residual correction method

Chengcheng Xu, Elia Scudiero, Ray Anderson, and Nathaniel Chaney

Viewed

Total article views: 3,528 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,391 932 205 3,528 22 120 142
  • HTML: 2,391
  • PDF: 932
  • XML: 205
  • Total: 3,528
  • Supplement: 22
  • BibTeX: 120
  • EndNote: 142
Views and downloads (calculated since 21 Nov 2025)
Cumulative views and downloads (calculated since 21 Nov 2025)

Viewed (geographical distribution)

Total article views: 3,528 (including HTML, PDF, and XML) Thereof 3,500 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2026
Download
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.
Read more
Share