Geospatial covariate data layers Covariates / Built-up Surface 2015-2030 / Macedonia 100m. Covariates

Macedonia 100m. Covariates
Built-up Area 2015-2030, Macedonia

The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84.
The value of each grid cell represents the built-up surface (in m2).
GHSL BUILT-S data are combined with Microsoft Building Footprints, Google Open Buildings footprints and World Settlement Footprint. Missing built-up pixels in GHSL but existing built-up pixels in Microsoft Building footprints, Google Building footprints and/or World Settlement Footprint were added to the base GHSL layer.

Data Source
Pesaresi, M. and Politis, P. (2023). GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA PID: http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea
Microsoft (2023). GlobalMLBuildingFootprints. https://github.com/microsoft/GlobalMLBuildingFootprints. [Accessed July 2023].
Sirko, W. et al. (2021). Continental-Scale Building Detection from High Resolution Satellite Imagery. arXiv:2107.12283. https://ui.adsabs.harvard.edu/abs/2021arXiv210712283S.
German Aerospace Center (DLR) (2021). World Settlement Footprint (WSF) 2019. https://doi.org/10.15489/twg5xsnquw84

Region : Macedonia
DOI : 10.5258/SOTON/WP00772
Date of production : 2024-01-01
Recommended citation

D. Woods, T. McKeen, A. Cunningham, R. Priyatikanto, A. Sorichetta , A.J. Tatem and M. Bondarenko. 2024 "WorldPop high resolution, harmonised annual global geospatial covariates. Version 1.0." University of Southampton: Southampton, UK. DOI:10.5258/SOTON/WP00772

Data Files :
WorldPop datasets are available under the Creative Commons Attribution 4.0 International License. This means that you are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially, provided attribution is included (appropriate credit and a link to the licence).

WorldPop datasets derived from OpenStreetMap, Microsoft Building Footprints or Microsoft Roads Detection are available under the Open Database License (ODbL). This means you are free to share the data, provided attribution is included (appropriate credit and a link to the license). If you alter or build upon the data, you may distribute the result only under the same ODbL license.