GLOBUS: GLObal Building heights for Urban Studies

@article{Kamath2022GLOBUSGB,
  title={GLOBUS: GLObal Building heights for Urban Studies},
  author={Harsh G. Kamath and Manmeet Singh and Lori A. Magruder and Zong‐Liang Yang and Dev Niyogi},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.12224}
}
Urban weather and climate studies continue to be important as extreme events cause economic loss and impact public health. Weather models seek to represent urban areas but are oversimplified due to data availability, especially building information. This paper introduces a novel Level of Detail-1 (LoD-1) building dataset derived from a Deep Neural Network (DNN) called GLObal Building heights for Urban Studies (GLOBUS). GLOBUS uses open-source datasets as predictors: Advanced Land Observation… 
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