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The perils of misusing remote sensing data. The case of forest cover

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Listed:
  • Leopoldo Fergusson
  • Santiago Saavedra
  • Juan Vargas

Abstract

Research on deforestation has grown exponentially due to the availability of satellitebased measures of forest cover. One of the most popular is Global Forest Change (GFC). Using GFC, we estimate that the Colombian civil conflict increases ‘forest cover’. Using an alternative source that validates the same remote sensing images in the ground, we find the opposite effect. This occurs because, in spite of its name, GFC measures tree cover, including vegetation other than native forest. Most users of GFC seem unaware of this. In our case, most of the conflicting results are explained by GFC’s misclassification of oil palm crops as ‘forest’. Our findings call for caution when using automated classification of imagery for specific research questions.

Suggested Citation

  • Leopoldo Fergusson & Santiago Saavedra & Juan Vargas, 2020. "The perils of misusing remote sensing data. The case of forest cover," Documentos CEDE 18151, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:018151
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    More about this item

    Keywords

    Forest Cover; Conflict; Measurement;
    All these keywords.

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts

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