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Open Access

Peer-reviewed

Research Article

Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery

  • Matteo Convertino ,

    mconvertino@ufl.edu (MC); mangoubi@draper.com (RSM)

    Affiliations Risk and Decision Science Team, Environmental Laboratory, Engineering Research and Development Center, United States Army Corps of Engineers, Concord, Massachusetts, United States of America, Department of Agricultural and Biological Engineering - Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, United States of America, Florida Climate Institute, University of Florida-Florida State University, Gainesville, Florida, United States of America

    ⨯
  • Rami S. Mangoubi ,

    mconvertino@ufl.edu (MC); mangoubi@draper.com (RSM)

    Affiliation Algorithms and Software, Charles Stark Draper Laboratory, Inc., Cambridge, Massachusetts, United States of America

    ⨯
  • Igor Linkov,

    Affiliations Risk and Decision Science Team, Environmental Laboratory, Engineering Research and Development Center, United States Army Corps of Engineers, Concord, Massachusetts, United States of America, Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

    ⨯
  • Nathan C. Lowry,

    Affiliation Algorithms and Software, Charles Stark Draper Laboratory, Inc., Cambridge, Massachusetts, United States of America

    ⨯
  • Mukund Desai

    Affiliation Algorithms and Software, Charles Stark Draper Laboratory, Inc., Cambridge, Massachusetts, United States of America

    ⨯

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