Biogeosciences
Biogeosciences
BG
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/bg-15-1497-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-1497-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
Research article
 | 
14 Mar 2018
Research article |  | 14 Mar 2018

Estimation of gross land-use change and its uncertainty using a Bayesian data assimilation approach

Peter Levy, Marcel van Oijen, Gwen Buys, and Sam Tomlinson

Viewed

Total article views: 2,882 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,770 1,014 98 2,882 100 131
  • HTML: 1,770
  • PDF: 1,014
  • XML: 98
  • Total: 2,882
  • BibTeX: 100
  • EndNote: 131
Views and downloads (calculated since 06 Nov 2017)
Cumulative views and downloads (calculated since 06 Nov 2017)

Viewed (geographical distribution)

Total article views: 2,882 (including HTML, PDF, and XML) Thereof 2,775 with geography defined and 107 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Oct 2025
Download
Short summary
We present a new method for estimating land-use change using a Bayesian data assimilation approach. This allows us to constrain estimates of gross land-use change with reliable national-scale census data whilst retaining the information available from several other sources. This includes detailed spatial data; further data sources, such as new satellites, could easily be added in future. Uncertainty is propagated appropriately into the output.
Read more
Share
Altmetrics
Final-revised paper
Preprint