Land Use and Land Cover (LULC)

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Recommended Citation(s)*:

Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, J. S. Gerber, P. C. West, J. A. Johnson, and J. Kiesecker. 2020. Global Development Potential Indices. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/k9t6-gh59. Accessed DAY MONTH YEAR.

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Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, J. S. Gerber, P. C. West, J. A. Johnson, and J. Kiesecker. 2019. Mapping Global Development Potential for Renewable Energy, Fossil Fuels, Mining and Agriculture Sectors. Scientific Data 6 (101): 1-17. https://doi.org/10.1038/s41597-019-0084-8.

ENW (EndNote & RefWorks)†
RIS (Others)

* 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 Global Development Potential Indices data set consists of 78 GeoTIFF (.tif) files in 13 zip files. The data were originally produced in Mollweide projection. We reprojected the data in Geographic projection as well. Data in both projections can be downloaded below. Users should be aware that some spatial uncertainty is introduced in the reprojection process, and the zip files do not contain criteria sensitivity reports and input parameters.