Data from: Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification

Yoni Gavish, Jerome O’Connell, Tim G. Benton & Jerome O'Connell
1. The ability to provide reliable projections for the current and future distribution patterns of land-covers is fundamental if we wish to protect and manage our diminishing natural resources. Two inter-related revolutions made map productions feasible at unprecedented resolutions- the availability of high-resolution remotely-sensed data and the development of machine-learning algorithms. However, the ground-truth data needed for training models is in most cases spatially and temporally clustered. Therefore, map production requires extrapolation of models from...
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