
Environment / Geospatial / Demography
Global Building Footprints
A comprehensive dataset of rough machine-learning derived outlines of all buildings in the world in 2021. A geospatially derived global building footprints map is a type of spatial dataset that represents the location and extent of buildings, such as houses, apartments, and other structures, across the globe. This dataset is typically created using geographic information systems (GIS) technology, and is based on data obtained from satellite imagery. The global building footprints map can provide valuable information for a wide range of purposes, such as for understanding the patterns and dynamics of urbanization, for studying the impacts of buildings on the environment and local communities, or for supporting the planning and management of land resources.
Metadata
Number
57
Availability
Available Soon
Source
Microsoft Global ML Building Footprints
Original Source
Microsoft / Maxar / Airbus
Resolution
1m
Cadence
Solo
Delivery Time
Hours
Price
€100
Coverage
Global
Data Range
1/1/2014 - 1/1/2021
Commercial Use
Permitted - https://samapriya.github.io/awesome-gee-community-datasets/projects/msbuildings/
Sample Asset
/dataset-samples/global-building-footprints.jpg
Created
8/3/2022 22:08
GIZ
n/a
EECU Seconds
-
Graph Data
Number of total buildings in city / AOI.
Number of total buildings in city / AOI bucketed by size - individual villas, multifamily homes, larger.
Number of square foot of building footprint in all city / AOI
Research
No research note listed.
Local Sample
footprints.jpg