Pilot Dataset for UK Dynamic World Land-Use Modelling with GLDAS Climate Features

This archive contains a pilot dataset for a UK land-use modelling workflow using Google Dynamic World and GLDAS climate data. The dataset includes sampled 1 km Dynamic World GeoTIFF patches across urban, middle, and rural land-use strata for 2015-2025, a flattened CSV representation for spatial/CNN-style experiments, and a compact feature table for Multiple Linear Regression and Random Forest baselines. The compact table includes Dynamic World land-cover fractions and annual mean temperature features where available. This pilot dataset is intended to support early-stage development and testing of machine-learning workflows for land-use, urban heat, and climate-adaptation modelling.