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Land Use and Land Cover (LULC)

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  • Collection Overview
  • Data Sets (6)
    • Development Threat Index, v1 (2015)
    • Central American Vegetation/Land Cover Classification and Conservation Status, v1 (1992 – 1993)
    • Global Development Potential Indices, v1 (2016)
    • Global Grid of Probabilities of Urban Expansion to 2030, v1 (2000 – 2030)
    • Global Human Modification of Terrestrial Systems, v1 (2016)
    • Global Mangrove Forests Distribution, v1 (2000)
  • Map Gallery (29)
  • Map Services (13)
  • Citations

Development Threat Index, v1 (2015)

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Purpose:
To provide a future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind.
Abstract:
The Development Threat Index data set is a terrestrial global, future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind. Each threat ranked potential development from 0-100 with 100 indicating the highest potential for future development of the resource and were produced at a 50 square kilometer (km2) grid cell resolution, excluding all cells overlapping Antarctica and those with >50% considered marine.
Recommended Citation(s)*:

Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, P. C. West, J. S. Gerber, L. Jarvis, and J. Kiesecker. 2019. Development Threat Index. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/61jv-th84. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Oakleaf, J. R., C. M. Kennedy, S. Baruch-Mordo, P. C. West, J. S. Gerber, L. Jarvis and J. Kiesecker. 2015. A World at Risk: Aggregating Development Trends to Forecast Global Habitat Conversion. PLoS ONE 10(10): e0138334. https://doi.org/10.1371/journal.pone.0138334.

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.

Available Formats:
raster, map, map service

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