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A New Multi-Temporal Forest Cover Classification for the Xingu River Basin, Brazil

Author

Listed:
  • Margaret Kalacska

    (Applied Remote Sensing Laboratory, Department of Geography, McGill University, Montreal, QC H3A 0B9, Canada)

  • Oliver Lucanus

    (Applied Remote Sensing Laboratory, Department of Geography, McGill University, Montreal, QC H3A 0B9, Canada)

  • Leandro Sousa

    (Flight Research Lab, National Research Council of Canada, Ottawa ON K1A 0R6, Canada)

  • J. Pablo Arroyo-Mora

    (Laboratório de Ictiologia de Altamira, Universidade Federal do Pará, Altamira PA 68372040, Brazil)

Abstract

We describe a new multi-temporal classification for forest/non-forest classes for a 1.3 million square kilometer area encompassing the Xingu River basin, Brazil. This region is well known for its exceptionally high biodiversity, especially in terms of the ichthyofauna, with approximately 600 known species, 10% of which are endemic to the river basin. Global and regional scale datasets do not adequately capture the rapidly changing land cover in this region. Accurate forest cover and forest cover change data are important for understanding the anthropogenic pressures on the aquatic ecosystems. We developed the new classifications with a minimum mapping unit of 0.8 ha from cloud free mosaics of Landsat TM5 and OLI 8 imagery in Google Earth Engine using a classification and regression tree (CART) aided by field photographs for the selection of training and validation points.

Suggested Citation

  • Margaret Kalacska & Oliver Lucanus & Leandro Sousa & J. Pablo Arroyo-Mora, 2019. "A New Multi-Temporal Forest Cover Classification for the Xingu River Basin, Brazil," Data, MDPI, vol. 4(3), pages 1-8, August.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:114-:d:253722
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    References listed on IDEAS

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    1. Joana Castro Pereira & Eduardo Viola, 2019. "Catastrophic Climate Risk and Brazilian Amazonian Politics and Policies: A New Research Agenda," Global Environmental Politics, MIT Press, vol. 19(2), pages 93-103, May.
    2. Edenise Garcia & Fábio Sampaio Vianna Ramos Filho & Giovanni Matheus Mallmann & Francisco Fonseca, 2017. "Costs, Benefits and Challenges of Sustainable Livestock Intensification in a Major Deforestation Frontier in the Brazilian Amazon," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
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