I am seeking the best current methods and datasets (highest possible resolution) for defining and assessing global land degradation - ideally with a time series. I know there are different ways of exploring this e.g. biomass, productivity, land use/cover etc., but I would appreciate any thoughts on current modelling, datasets/resources and novel approaches.
I am also interested in the best methods for quantitatively mapping/modelling land restoration (biophysical) on a global scale, and if possible, historic land reconstruction.
Thanks!
Soil Loss Equation models (such as USLE, RUSLE , MUSLE etc) and stochastic simulations are good methods of defining the extent of land degradation. Land degradation could be assessed based on soil/water erosion, vegetation loss, and topographic changes.
The attached article could serve as additional reading material.
Thanks Vineesh - I'll look into this. Looks good for time series/landscape change.
High resolution dataset coming soon out of this ESA-initiated consortium I believe. Don't know much about it though or whether it could be helpful in determining degradation: https://esa-worldcover.org/en/news
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