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- Recommended Citation(s)*:
Brown de Colstoun, E. C., C. Huang, P. Wang, J. C. Tilton, B. Tan, J. Phillips, S. Niemczura, P.-Y. Ling, and R. E. Wolfe. 2017. Global Man-made Impervious Surface (GMIS) Dataset From Landsat. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P55KKF. Accessed DAY MONTH YEAR.
* 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.
View and download GMIS data set by country, tile, shapefile, rectangle or polygon. Data are available at 30m, 250m, and 1km resolutions in either geographic or UTM projection.
Explore the map layers from the GMIS data set and the companion HBASE data set, including the uncertainity layers, in a 4-panel map view. You can compare different map layers or different areas of the same map layer, zoom-in to native data resolution of 30m, query pixel values, display a layer full-screen, and do much more.