Skip to main content

A national dataset of rasterized building footprints for the U.S.

Dates

Publication Date
Time Period
2020

Citation

Heris, M.P., Foks, N., Bagstad, K., and Troy, A., 2020, A national dataset of rasterized building footprints for the U.S.: U.S. Geological Survey data release, https://doi.org/10.5066/P9J2Y1WG.

Summary

The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state: (1) total [...]

Child Items (2)

Contacts

Purpose

Summarized version of Microsoft building footprint at the national scale. The data is available for the conterminous U.S. as six raster layers.

Rights

This Project is funded by NASA’s Biological Diversity and Ecological Forcasting program; Award # 80NSSC18k0341

Map

Communities

  • USGS Data Release Products

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9J2Y1WG

Item Actions

View Item as ...

Save Item as ...

View Item...