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The gloBFPr package provides functions to retrieve building height tiles, compute a range of 2.5D building morphology metrics, assess environmental context, aggregate metrics to the city-block scale, support noise, shadow/radiation, and wind/thermal simulation, export study areas as 3D scenes for 3D modeling software
Building height estimation using neural networks and Mapillary street-view imagery. MATLAB Feed-Forward Neural Network is used for geometric transformation
Preprocessed and split version of the SSBH remote sensing dataset for building height estimation, including RGB composites, height maps, and building masks with train/valid/test manifests and ready-to-train scripts.