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Global Building Footprints

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