• DocumentCode
    2676640
  • Title

    Statistical analysis and feedback exploration of land use change determinants at local scale in the brazilian amazon

  • Author

    de Souza Soler, L. ; Verburg, P. ; Isabel, M. ; Escada, S. ; Camara, G.

  • Author_Institution
    Wageningen Univ. - WUR, Wageningen
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    3462
  • Lastpage
    3465
  • Abstract
    This work focus on two municipalities established first as rural settlements in Rondonia State in 1982. These two municipalities consist on a unique land use change study due to the differences in settlements planning, but also because they are part of recent frontiers of deforestation. The main land use patterns in the study area are mainly related to small farmers. However, medium and big farms, mineral extraction and timber exploration are also expressive. To understand the land use and land change processes, we have investigated and connected these different patterns to their possible causes and driving forces. This was realized by the use of statistical analysis and spatial-temporal modeling. The simulation was useful as learning tool to explore previous feedbacks of deforestation observed during fieldwork campaigns in the area.
  • Keywords
    farming; forestry; land use planning; statistical analysis; vegetation mapping; Brazilian Amazon; Rondonia State; deforestation; farming; feedback exploration; land use change; mineral extraction; rural settlements; settlements planning; spatial-temporal modeling; statistical analysis; timber exploration; Data analysis; Image processing; Land use planning; Logistics; Minerals; Roads; Rubber; State feedback; Statistical analysis; US Government; Amazon; CLUE-S; feedback; land use change; logistic regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423591
  • Filename
    4423591