Search Results - "Bueno, Inacio Thomaz"

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  1. 1

    Modelling spatially distributed soil losses and sediment yield in the upper Grande River Basin - Brazil by Batista, Pedro Velloso Gomes, Silva, Marx Leandro Naves, Silva, Bárbara Pereira Christofaro, Curi, Nilton, Bueno, Inácio Thomaz, Acérbi Júnior, Fausto Weimar, Davies, Jessica, Quinton, John

    Published in Catena (Giessen) (01-10-2017)
    “…Water erosion negatively affects soil fertility, soil structure, and water availability to plants. Moreover, off-site erosion effects contribute to the…”
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    Journal Article
  2. 2

    A large-scale disturbance mapping ensemble through data-driven regionalization by Bueno, Inacio Thomaz, Hird, Jennifer, McDermid, Gregory John, Galvão, Lênio Soares, Acerbi, Fausto Weimar

    Published in International journal of remote sensing (18-06-2023)
    “…Mapping and monitoring disturbances in vegetation over large areas demand reliable approaches and accurate end-user maps. Methods and algorithms have been…”
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  3. 3
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    Assessing Atlantic cloud forest extent and protection status in southeastern Brazil by Pompeu, Patrícia Vieira, Fontes, Marco Aurélio Leite, Mulligan, Mark, Bueno, Inácio Thomaz, de Siqueira, Marinez Ferreira, Acerbi Júnior, Fausto Weimar, Kamino, Luciana Hiromi Yoshino, Waterloo, Maarten J., Bruijnzeel, L.A.

    Published in Journal for nature conservation (01-06-2018)
    “…This study aims to map the spatial distribution of Atlantic cloud forest and assess its protection status in the Serra da Mantiqueira, southeastern Brazil,…”
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    Journal Article
  5. 5

    Object-based change detection using semivariogram indices derived from NDVI images: The environmental disaster in Mariana, Brazil by Silveira, Eduarda Martiniano de Oliveira, Acerbi Júnior, Fausto Weimar, Mello, José Márcio de, Bueno, Inácio Thomaz

    Published in Ciência e agrotecnologia (01-09-2017)
    “…ABSTRACT Object-based change detection is a powerful analysis tool for remote sensing data, but few studies consider the potential of temporal semivariogram…”
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    Spatial and spectral remote sensing features to detect deforestation in Brazilian Savannas by Pereira, Eveline, Silveira, Eduarda, Bueno, Inácio Thomaz, Acerbi Júnior, Fausto Weimar

    Published in Advances in Forestry Science (30-12-2019)
    “…The Brazilian Savannas have been under increasing anthropic pressure for many years, and land-use/land-cover changes (LULCC) have been largely neglected…”
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    Journal Article