Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/essd-14-4719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Data description paper
 | 
28 Oct 2022
Data description paper |  | 28 Oct 2022

Colombian soil texture: building a spatial ensemble model

Viviana Marcela Varón-Ramírez, Gustavo Alfonso Araujo-Carrillo, and Mario Antonio Guevara Santamaría

Viewed

Total article views: 3,289 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,433 776 80 3,289 55 45
  • HTML: 2,433
  • PDF: 776
  • XML: 80
  • Total: 3,289
  • BibTeX: 55
  • EndNote: 45
Views and downloads (calculated since 25 Feb 2022)
Cumulative views and downloads (calculated since 25 Feb 2022)

Viewed (geographical distribution)

Total article views: 3,289 (including HTML, PDF, and XML) Thereof 3,153 with geography defined and 136 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
These are the first national soil texture maps obtained via digital soil mapping. We built clay, sand, and silt maps using spatial assembling with the best possible predictions at different depths. Also, we identified the better model for each pixel. This work was done to address the lack of soil texture maps in Colombia, and it can provide soil information for water-related applications, ecosystem services, and agricultural and crop modeling.
Read more
Altmetrics
Final-revised paper
Preprint