Third party data

We are not alone – other groups are producing great data on form an function of cities, which may suit your needs. Here is a selection.

Under construction.

Urban mask layers

DatasetDescription/PropertiesReference
Global Human Settlement Layer (GHSL)Global multitemporal built-up layer from Landsat image collections (GLS1975, GLS1990, GLS2000, and ad-hoc Landsat 8 collection 2013/2014), spatial resolution of 30 m Pesaresi, M., Ehrlich, D., Ferri, S., Florczyk, A., Freire, S., Halkia, M., Julea, A., Kemper, T., Soille, P., Syrris, V. (2016). Operating procedure for the production of the Global Human Settlement Layer from Landsat data of the epochs 1975, 1990, 2000, and 2014. JRC Technical Reports
Global Urban Footprint (GUF)Global buildup layer from 180 000 TerraSAR-X and TanDEM-X scenes, spatial resolution of 0.4 arcsec (~12 m).Esch, T., Heldens, W., Hirner, A., Keil, M., Marconcini, M., Roth, A., et al. (2017). Breaking new ground in mapping human settlements from space–The Global Urban Footprint. ISPRS Journal of Photogrammetry and Remote Sensing, 134, 30–42.
World Settlement footprintGlobal map of human settlement, derived from 700,000 Copernicus Sentinel-1 radar and Landsat-8 multispectral satellite images, spatial resolution of 10 m ESA (2019). Applications - Mapping our global human footprint. https://bit.ly/35pqWzD
ESA CCI Land CoverGlobal land cover map, derived from the full Envisat MERIS archives (2003-2012) and SPOT Vegetation time series (1998-2012), spatial resolution 300 mBontemps, S., Boettcher, M., Brockmann, C., Kirches, G., Lamarche, D., et al. (2015). Multi-year Gloabl Land Cover mapping at 300 m and characterization for climate modelling: achievements of the land cover component of the ESA Climate Change Initiative. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3, 323-328.

Building data