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Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling

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  • Caviglia-Harris, Jill L.

    (Salisbury U)

  • Harris, Daniel W.

    (Salisbury U)

Abstract

Tropical deforestation has environmental consequences at local, regional and global scales. The Brazilian Amazon's deforestation resulted largely from conversion to farmland by landholders. These conversions caused deforestation that researchers have examined locally by interviews with landowners and regionally by satellite remote sensing. This paper merges data from these methods to validate survey-based deforestation levels with remote-sensing information. We determine household characteristics associated with misreporting of land use. After identifying errors, we modify the data to better estimate influences on local deforestation. Although individuals are not found to intentionally misrepresent land use, incorporating differences between the two data sources improves the estimations of deforestation.

Suggested Citation

  • Caviglia-Harris, Jill L. & Harris, Daniel W., 2005. "Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling," The Review of Regional Studies, Southern Regional Science Association, vol. 35(2), pages 187-205.
  • Handle: RePEc:rre:publsh:v:35:y:2005:i:2:p:187-205
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    1. repec:eee:foreco:v:30:y:2018:i:c:p:38-51 is not listed on IDEAS

    More about this item

    Keywords

    Deforestation; Farmland;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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