Soils-R-GGREAT (Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies)
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Soils-R-GGREAT is a NERC-funded project that uses a combination of life cycle assessment (LCA), scenario database analysis, network data analysis, meta-analysis, biophysical modelling, economic modelling, stakeholder engagement and expert consultation to deliver the most rigorous and comprehensive global assessment of potential, feasibility, barriers and impacts of soil-based greenhouse gas removal methods. At UK level, the Soils-R-GRREAT project provides evidence on national and global potential of soil based GGRs to support national climate change policy at the UK, and devolved administration levels. This collection contains data from research focused on quantifying C dynamics in managed grasslands in the UK by fusing observational data and process modelling.
Items in this Collection
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The carbon budget of the managed grasslands of Great Britain - informed by earth observations
Model inputs, model code and aggregated model outputs (seasonal, annual) for every grassland field simulated (2017-2018) in "Myrgiotis et al. The carbon budget of the managed grasslands of Great Britain - informed by earth ... -
DALEC-GRASS: Inference of grassland vegetation management from earth observation data. Validation against ground data from the North Wyke Farm Platform
Model inputs, model outputs and model code as used for, and presented in, "Myrgiotis, V., Harris, P., Revill, A., Sint, H. & Williams, M. Inferring management and predicting sub-field scale C dynamics in UK grasslands using ... -
DALEC-Grass : Model development, parameter calibration and validation
Model inputs, model outputs and model code as used and presented in "Myrgiotis, V., Blei, E., Clement, R., Jones, S. K., Keane, B., Lee, M. A., Levy, P. E., Rees, R. M., Skiba, U. M., Smallman, T. L., Toet, S., & Williams, ... -
An algorithm that gap-fills Sentinel-2-based leaf area index (LAI) time-series using Sentinel-1-based backscatter and vapour pressure deficit (VPD) data
This is a python package that uses data from the Sentinel-2 (multispectral images) and the Sentinel-1 (synthetic apperture radar) satellite systems, along with data on vapour pressure deficit (VPD), in order to produce ...
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