@article{achardEstimatingTropicalDeforestation2010,
  title = {Estimating Tropical Deforestation from {{Earth}} Observation Data},
  author = {Achard, Fr{\'e}d{\'e}ric and Stibig, Hans-J{\"u}rgen and Eva, Hugh D. and Lindquist, Erik J. and Bouvet, Alexandre and Arino, Olivier and Mayaux, Philippe},
  year = {2010},
  month = dec,
  volume = {1},
  pages = {271--287},
  issn = {1758-3012},
  doi = {10.4155/cmt.10.30},
  abstract = {This article covers the very recent developments undertaken for estimating tropical deforestation from Earth observation data. For the United Nations Framework Convention on Climate Change process it is important to tackle the technical issues surrounding the ability to produce accurate and consistent estimates of GHG emissions from deforestation in developing countries. Remotely-sensed data are crucial to such efforts. Recent developments in regional to global monitoring of tropical forests from Earth observation can contribute to reducing the uncertainties in estimates of carbon emissions from deforestation. Data sources at approximately 30 m ? 30 m spatial resolution already exist to determine reference historical rates of change from the early 1990s. Key requirements for implementing future monitoring programs, both at regional and pan-tropical regional scales, include international commitment of resources to ensure regular (at least yearly) pan-tropical coverage by satellite remote sensing imagery at a sufficient level of detail; access to such data at low-cost; and consensus protocols for satellite imagery analysis.},
  journal = {Carbon Management},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13321732,deforestation,forest-resources,remote-sensing,tropical-forests},
  lccn = {INRMM-MiD:c-13321732},
  number = {2}
}

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J.","Bouvet, A.","Arino, O.","Mayaux, P."],"year":2010,"bibtype":"article","biburl":"https://sharefast.me/php/download.php?id=zOUKvA&token=29","bibdata":{"bibtype":"article","type":"article","title":"Estimating Tropical Deforestation from Earth Observation Data","author":[{"propositions":[],"lastnames":["Achard"],"firstnames":["Frédéric"],"suffixes":[]},{"propositions":[],"lastnames":["Stibig"],"firstnames":["Hans-Jürgen"],"suffixes":[]},{"propositions":[],"lastnames":["Eva"],"firstnames":["Hugh","D."],"suffixes":[]},{"propositions":[],"lastnames":["Lindquist"],"firstnames":["Erik","J."],"suffixes":[]},{"propositions":[],"lastnames":["Bouvet"],"firstnames":["Alexandre"],"suffixes":[]},{"propositions":[],"lastnames":["Arino"],"firstnames":["Olivier"],"suffixes":[]},{"propositions":[],"lastnames":["Mayaux"],"firstnames":["Philippe"],"suffixes":[]}],"year":"2010","month":"December","volume":"1","pages":"271–287","issn":"1758-3012","doi":"10.4155/cmt.10.30","abstract":"This article covers the very recent developments undertaken for estimating tropical deforestation from Earth observation data. 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Key requirements for implementing future monitoring programs, both at regional and pan-tropical regional scales, include international commitment of resources to ensure regular (at least yearly) pan-tropical coverage by satellite remote sensing imagery at a sufficient level of detail; access to such data at low-cost; and consensus protocols for satellite imagery analysis.","journal":"Carbon Management","keywords":"*imported-from-citeulike-INRMM,~INRMM-MiD:c-13321732,deforestation,forest-resources,remote-sensing,tropical-forests","lccn":"INRMM-MiD:c-13321732","number":"2","bibtex":"@article{achardEstimatingTropicalDeforestation2010,\n title = {Estimating Tropical Deforestation from {{Earth}} Observation Data},\n author = {Achard, Fr{\\'e}d{\\'e}ric and Stibig, Hans-J{\\\"u}rgen and Eva, Hugh D. and Lindquist, Erik J. and Bouvet, Alexandre and Arino, Olivier and Mayaux, Philippe},\n year = {2010},\n month = dec,\n volume = {1},\n pages = {271--287},\n issn = {1758-3012},\n doi = {10.4155/cmt.10.30},\n abstract = {This article covers the very recent developments undertaken for estimating tropical deforestation from Earth observation data. For the United Nations Framework Convention on Climate Change process it is important to tackle the technical issues surrounding the ability to produce accurate and consistent estimates of GHG emissions from deforestation in developing countries. Remotely-sensed data are crucial to such efforts. Recent developments in regional to global monitoring of tropical forests from Earth observation can contribute to reducing the uncertainties in estimates of carbon emissions from deforestation. Data sources at approximately 30 m ? 30 m spatial resolution already exist to determine reference historical rates of change from the early 1990s. 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