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Estimation of land-use change using a Bayesian data assimilation approach
| Content Provider | Scilit |
|---|---|
| Author | Levy, Peter Oijen, Marcel Van Buys, Gwen Tomlinson, Sam |
| Copyright Year | 2017 |
| Description | We present a method for estimating land-use change using a Bayesian data assimilation approach. The approach provides a general framework for combining multiple disparate data sources with a simple model. This allows us to constrain estimates of gross land-use change with reliable national-scale census data, whilst retaining the detailed information available from several other sources. Eight different data sources, with three different data structures, were combined in our posterior estimate of land-use and land-use change, and other data sources could easily be added in future. The tendency for observations to underestimate gross land-use change is accounted for by allowing for a skewed distribution in the likelihood function. The data structure produced has high temporal and spatial resolution, and is appropriate for dynamic process-based modelling. Uncertainty is propagated appropriately into the output, so we have a full posterior distribution of output and parameters. The data are available in the widely used netCDF file format from http://eidc.ceh.ac.uk/ (doi pending). |
| DOI | 10.5194/bg-2017-466 |
| Alternate Webpage(s) | http://pdfs.semanticscholar.org/b994/bd273c07b09896e3d403c5fe13c35d5dc338.pdf |
| Volume Number | 2017 |
| Language | English |
| Publisher | Copernicus GmbH |
| Publisher Date | 2017-11-06 |
| Access Restriction | Open |
| Subject Keyword | Land Use Change |
| Content Type | Text |
| Resource Type | Article |
