Computer-aided classification of successional stage in subtropical Atlantic Forest: a proposal based on fuzzy artificial intelligence.

Journal: Environmental monitoring and assessment
Published Date:

Abstract

STATEMENT OF PROBLEM: Due to the continuous variability of the forest regeneration process, patterns of indicator variables with membership in more than one successional stage may occur, making the classification of such stages a challenging and complex task.

Authors

  • Adriano Bressane
    Environmental Engineering Department, Institute of Science and Technology (ICT), São José Dos Campos, Brazil. adriano.bressane@unesp.br.
  • Isadora Gurjon Gomes
    Environmental Engineering Department, Institute of Science and Technology (ICT), São José Dos Campos, Brazil.
  • Graziele Coraline Scofano da Rosa
    Civil and Environmental Engineering Graduate Program, São Paulo State University (UNESP), Bauru, Brazil.
  • Caio Cesar Moraes Brandelik
    Agricultural and Natural Ecosystems Graduate Program, Federal University of Santa Catarina (UFSC), Florianopolis, Brazil.
  • Mirela Beatriz Silva
    Civil and Environmental Engineering Graduate Program, São Paulo State University (UNESP), Bauru, Brazil.
  • Alexandre Siminski
    Agricultural and Natural Ecosystems Graduate Program, Federal University of Santa Catarina (UFSC), Florianopolis, Brazil.
  • Rogério Galante Negri
    Environmental Engineering Department, Institute of Science and Technology (ICT), São José Dos Campos, Brazil.