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: 4,189 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,247 1,488 454 4,189 570 478
  • HTML: 2,247
  • PDF: 1,488
  • XML: 454
  • Total: 4,189
  • BibTeX: 570
  • EndNote: 478
Views and downloads (calculated since 06 Nov 2017)
Cumulative views and downloads (calculated since 06 Nov 2017)

Viewed (geographical distribution)

Total article views: 4,189 (including HTML, PDF, and XML) Thereof 4,048 with geography defined and 141 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 06 Nov 2026
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