The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied
Building height is a crucial variable in the study of urban environments, regional climates, and human-environment interactions. However, high-resolution data on building height, especially at the nat
This dataset contains the CONUS-wide LCZ map and Training areas, produced within Demuzere et al. (2020), Combining expert and crowd-sourced training data to map urban form and functions for the contin
