Data for research manuscript Predicting Local Climate Zones using Urban Morphometrics and Satellite Imagery

This data accompanies a research manuscript “Predicting Local Climate Zones using Urban Morphometrics and Satellite Imagery”.

It contains the calculated urban morphometric attributes (momepy.zip), the used preprocessed Sentinel-2 data (imagery.zip), the best-performing rasterized subsets of morphometric attributes used in the fusion-based predictions (rasterized_morphometrics.zip), trained CNN models (s2_cnn_models.zip), and results - model's performance metrics saved in .csv files (results.zip).

Original LCZ reference data are available from 2017 IEEE GRSS Data Fusion Contest