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FORMA: Forest Monitoring for Action— Rapid Identification of Pan-tropical Deforestation Using Moderate-Resolution Remotely Sensed Data

Author

Listed:
  • Dan Hammer
  • Robin Kraft
  • David Wheeler

Abstract

Rising concern about carbon emissions from deforestation has led donors to finance UN-REDD (Reducing Emissions from Deforestation and Forest Degradation in Developing Countries), a program that offers direct compensation for forest conservation. Sustainable operation of UN-REDD and other direct-compensation programs will require a transparent, credible, frequently updated system for monitoring deforestation. In this paper, we introduce FORMA (Forest Monitoring for Action), a prototype system based on remotely sensed data. We test its accuracy against the best available information on deforestation in Brazil and Indonesia. Our results indicate that publicly available remotely sensed data can support accurate quarterly identification of new deforestation at 1 km spatial resolution. More rapid updates at higher spatial resolution may also be possible. At current resolution, with efficient coding in publicly available software, FORMA should produce global updates on one desktop computer in a few hours. Maps of probable deforestation at 1 km resolution will be accessible with Google Earth and Google Maps, with an open facility for ground-truthing each pixel via photographs and text comments.

Suggested Citation

  • Dan Hammer & Robin Kraft & David Wheeler, 2009. "FORMA: Forest Monitoring for Action— Rapid Identification of Pan-tropical Deforestation Using Moderate-Resolution Remotely Sensed Data," Working Papers 192, Center for Global Development.
    • Handle: RePEc:cgd:wpaper:192
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    File URL: http://www.cgdev.org/content/publications/detail/1423248
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    Cited by:

    1. Milazzo, M.F. & Spina, F. & Cavallaro, S. & Bart, J.C.J., 2013. "Sustainable soy biodiesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 806-852.
    2. Dasgupta, Susmita & Hammer, Dan & Kraft, Robin & Wheeler, David, 2014. "Vyāghranomics in space and time: Estimating habitat threats for Bengal, Indochinese, Malayan and Sumatran tigers," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 433-453.
    3. David Wheeler, Dan Hammer, Robin Kraft, 2011. "From REDD to Green: A Global Incentive System to Stop Tropical Forest Clearing- Working Paper 282," Working Papers 282, Center for Global Development.
    4. Wheeler, David & Hammer, Dan & Kraft, Robin & Dasgupta, Susmita & Blankespoor, Brian, 2013. "Economic dynamics and forest clearing: A spatial econometric analysis for Indonesia," Ecological Economics, Elsevier, vol. 85(C), pages 85-96.
    5. David Wheeler, 2012. "Energy+ Country Performance Ratings 2001–2010," Working Papers 301, Center for Global Development.
    6. David Wheeler, Robin Kraft, Dan Hammer, 2011. "Forest Clearing in the Pantropics: December 2005–August 2011- Working Paper 283," Working Papers 283, Center for Global Development.

    More about this item

    Keywords

    remote sensing; forest; deforestation; conservation; climate change;
    All these keywords.

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