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Research Article

A Tale of Two “Forests”: Random Forest Machine Learning Aids Tropical Forest Carbon Mapping

  • Joseph Mascaro mail,

    jmascaro@carnegiescience.edu

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Gregory P. Asner,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • David E. Knapp,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Ty Kennedy-Bowdoin,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Roberta E. Martin,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Christopher Anderson,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Mark Higgins,

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • K. Dana Chadwick

    Affiliation: Department of Global Ecology, Carnegie Institution for Science, Stanford, California, United States of America

    X
  • Published: January 28, 2014
  • DOI: 10.1371/journal.pone.0085993

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