- View Recommended Citation(s)
- Recommended Citation(s)*:
Gao, J. and M. Pesaresi. 2021. Global 1-km Downscaled Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/1z4r-ez63. Accessed DAY MONTH YEAR.
Gao, J. and M. Pesaresi. 2021. Downscaling SSP-consistent Global Spatial Urban Land Projections from 1/8-degree to 1-km Resolution 2000-2100. Scientific Data 8(1): 281. https://doi.org/10.1038/s41597-021-01052-0.
* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.
† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.
The data are available as global grids in GeoTIFF (.tif) and netCDF-4 (.nc) formats. Each downloadable object is a compressed zip file, containing the formatted grids. The projection gridded zip files range from ~1 to 2.5 GB in size while the Base Year and Ancillary Layer files range from ~64 to 345 MB.