Gridded datasets of building count and area metrics for the UN Africa Region, version 1.0
Gridded datasets of building count and area metrics for the UN Africa Region, version 1.0
A set of gridded (raster) datasets for building count and area metrics for the UN Africa region, based on building footprints from Google, Microsoft and OpenStreetMap. Rasters are in geotiff format, in geographic coordinate system WGS84 (World Geodetic System 1984: EPSG 4326), with a spatial resolution of 3 arc seconds (0.00083333 decimal degrees).
building, Gridded, datasets, metrics
University of Southampton
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Jochem, Chris
ef65df67-4364-4438-92e9-f93ceedb8da1
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Jochem, Chris
ef65df67-4364-4438-92e9-f93ceedb8da1
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Chamberlain, Heather, Jochem, Chris, Lazar, Attila and Tatem, Andrew
(2024)
Gridded datasets of building count and area metrics for the UN Africa Region, version 1.0.
University of Southampton
doi:10.5258/SOTON/WP00776
[Dataset]
Abstract
A set of gridded (raster) datasets for building count and area metrics for the UN Africa region, based on building footprints from Google, Microsoft and OpenStreetMap. Rasters are in geotiff format, in geographic coordinate system WGS84 (World Geodetic System 1984: EPSG 4326), with a spatial resolution of 3 arc seconds (0.00083333 decimal degrees).
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Published date: 15 March 2024
Keywords:
building, Gridded, datasets, metrics
Identifiers
Local EPrints ID: 488197
URI: http://eprints.soton.ac.uk/id/eprint/488197
PURE UUID: b002355a-6909-428f-a80a-0bf35c12566c
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Date deposited: 18 Mar 2024 17:49
Last modified: 19 Mar 2024 02:47
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Creator:
Chris Jochem
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