Automated extraction of map symbology from nineteenth century topographical maps by convolutional neural networks for understanding long-term changes in the extent and distribution of wetlands
Rob O'Hara,Richa Marwaha,Jesko Zimmerman,Matthew Saunders,and Stuart Green
Rob O'Hara
Teagasc Food Research Centre, Spatial Analysis Unit, Ireland
Richa Marwaha
Trinity College Dublin, Department of Botany, Ireland
Jesko Zimmerman
Teagasc Food Research Centre, Spatial Analysis Unit, Ireland
For the future model users, 16 peatland and wetland models reviewed to identify individual model operational scale (spatial and temporal), stabilization timeframes of different carbon pools, model specific advantages and limitations, common and specific model driving inputs, critical inputs of individual models impacting CH4 plant mediated, CH4 diffusion and CH4 ebullition. Finally, we qualitatively ranked the process representations in each model for CH4 production, oxidation and transport.
