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

Additional Info

Field Value
Last Updated July 11, 2025, 09:38 (UTC)
Created July 11, 2025, 09:38 (UTC)
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
encoding utf8
file_name CA_bldgFootprints_10m.tif
format geotiff
harvest_object_id 83f70811-e909-41da-8f34-45c7bbfc871a
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
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