Inferring building height from footprint morphology data.

ABSTRACT: As cities continue to grow globally, characterizing the built environment is essential to understanding human populations, projecting energy usage, monitoring urban heat island impacts, preventing environmental degradation, and planning for urban development. Buildings are a key component of the built environment and there is currently a lack of data on building height at the global level. Current methodologies for developing building height models that utilize remote sensing are limited in scale due to the high cost of data acquisition. Other approaches that leverage 2D features are restricted based on the volume of ancillary data necessary to infer height. Here, we find, through a series of experiments covering 74.55 million buildings from the United States, France, and Germany, it is po

SUBMITTER: Stipek C 

PROVIDER: S-EPMC11319631 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature