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Earth Observations in Social Science Research for Management of Natural Resources and the Environment: Identifying the Contribution of the U.S. Land Remote Sensing (Landsat) Program

Author

Listed:
  • Macauley, Molly K.

    (Resources for the Future)

Abstract
This paper surveys and describes the peer-reviewed social science literature in which data from the U.S. land remote sensing program, Landsat, inform public policy in managing natural resources and the environment. The Landsat program has provided the longest collection of observations of Earth from the vantage point of space. The paper differentiates two classes of research: methodology exploring how to use the data (for example, designing and testing algorithms or verifying the accuracy of the data) and applications of data to decisionmaking or policy implementation in managing land, air quality, water, and other natural and environmental resources. Selection of the studies uses social science-oriented bibliographic search indices and expands results of previous surveys that target only researchers specializing in remote sensing or photogrammetry. The usefulness of Landsat as a basis for informing public investment in the Landsat program will be underestimated if this body of research goes unrecognized.

Suggested Citation

  • Macauley, Molly K., 2009. "Earth Observations in Social Science Research for Management of Natural Resources and the Environment: Identifying the Contribution of the U.S. Land Remote Sensing (Landsat) Program," RFF Working Paper Series dp-09-01, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-09-01
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    File URL: http://www.rff.org/RFF/documents/RFF-DP-09-01.pdf
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    References listed on IDEAS

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    2. Alix-Garcia, Jennifer & Janvry, Alain de & Sadoulet, Elisabeth, 2005. "A Tale of Two Communities: Explaining Deforestation in Mexico," World Development, Elsevier, vol. 33(2), pages 219-235, February.
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    5. Vance, Colin & Geoghegan, Jacqueline, 2002. "Temporal and spatial modelling of tropical deforestation: a survival analysis linking satellite and household survey data," Agricultural Economics, Blackwell, vol. 27(3), pages 317-332, November.
    6. Marcy Burchfield & Henry G. Overman & Diego Puga & Matthew A. Turner, 2006. "Causes of Sprawl: A Portrait from Space," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 587-633.
    7. Gerald C. Nelson & Daniel Hellerstein, 1997. "Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 80-88.
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    9. Frits Møller & Dorte Grinderslev & Morten Werner, 2003. "Environmental Satellite Models for a Macroeconomic Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(3), pages 197-212, March.
    10. Emily Harwell, 2000. "Remote Sensibilities: Discourses of Technology and the Making of Indonesia’s Natural Disaster," Development and Change, International Institute of Social Studies, vol. 31(1), pages 307-340, January.
    11. Brown, Molly E., 2006. "Assessing Natural Resource Management Challenges in Senegal Using Data from Participatory Rural Appraisals and Remote Sensing," World Development, Elsevier, vol. 34(4), pages 751-767, April.
    12. Armando Apan & Steven Raine & Andrew Le Brocque & Geoff Cockfield, 2004. "Spatial prioritization of revegetation sites for dryland salinity management: an analytical framework using GIS," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 47(6), pages 811-825.
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    14. Florence Goffette-Nagot & Isabelle Reginster, 2005. "Urban environmental quality in two Belgian cities: evaluated on the basis of residential choices and GIS data," Post-Print halshs-00155144, HAL.
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    16. Muller, Daniel & Zeller, Manfred, 2002. "Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation," Agricultural Economics, Blackwell, vol. 27(3), pages 333-354, November.
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    Cited by:

    1. Macauley, Molly K. & Shih, Jhih-Shyang, 2010. "Assessing Investment in Future Landsat Instruments: The Example of Forest Carbon Offsets," RFF Working Paper Series dp-10-14, Resources for the Future.

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    More about this item

    Keywords

    natural resources policy; environmental policy; Landsat; social science; environmental management;
    All these keywords.

    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation

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