Building Structure Density

A raster dataset containing building footprints of California. The vintage of the footprints depends on the vintage of the underlying imagery. Bing Imagery is a composite of multiple sources with different capture dates. Vector spatial data called US Building Footprints contained in a Microsoft dataset (available at https://github.com/microsoft/USBuildingFootprints) downloaded, clipped to California and converted to a 10m raster.

Data and Resources

Field Value
categorical_values {"1": 32042779}
category /Operational Data Layers/Administrative
collection_name California Landscape Metrics
creation_method Vector spatial data called US Building Footprints contained in a Microsoft dataset (available at https://github.com/microsoft/USBuildingFootprints) downloaded, clipped to California and converted to a 10m raster.
data_units binary
data_vintage 2012-2020
element Administrative
file_name CA_bldgFootprints_10m.tif
format geotiff
maximum_value 1.0
metric_definition_and_relevance A raster dataset containing building footprints of California. The vintage of the footprints depends on the vintage of the underlying imagery. Bing Imagery is a composite of multiple sources with different capture dates.
minimum_value 1.0
source Microsoft US Building Footprints
spatial {"type": "Polygon", "coordinates": [[[-0.0011184841261727718, 0.0002912721722775841], [-0.0010195322031569297, 0.0002912721722775841], [-0.0010195322031569297, 0.00037830910048449845], [-0.0011184841261727718, 0.00037830910048449845], [-0.0011184841261727718, 0.0002912721722775841]]]}
sub_collection_name Operational Data Layers
Groups
  • NSF
  • United States
Tags
  • NSF
  • United States
  • building footprints
  • raster dataset
  • urban density
isopen False
license_id CC-BY-4.0
license_title CC-BY-4.0
metadata_created 2026-10-30T17:29:14.785359
metadata_modified 2026-10-30T17:29:14.785365
notes A raster dataset containing building footprints of California. The vintage of the footprints depends on the vintage of the underlying imagery. Bing Imagery is a composite of multiple sources with different capture dates. Vector spatial data called US Building Footprints contained in a Microsoft dataset (available at https://github.com/microsoft/USBuildingFootprints) downloaded, clipped to California and converted to a 10m raster.
num_resources 4
num_tags 5
title Building Structure Density