Weighted Overlay, Fuzzy Logic and Neural Networks for Estimating Vegetation Vulnerability within the Ecological Economical Zoning of Minas Gerais, Brazil. - Luis Marcelo T. de Carvalho; Moises S. Ribeiro; Luciano T. de Oliveira; Thomaz C. de A. Oliveira; Julio N. Louzada; José Roberto S. Scolforo; Antonio D. Oliveira (GEOINFO, 2007)

Using Spatial Features to Reduce the Impact of Seasonality for Detecting Tropical Forest Changes from Landsat Time Series. - Eduarda M. O. Silveira; Inácio T. Bueno; Fausto W. Acerbi-Junior; José M. Mello; José Roberto S. Scolforo; Michael A. Wulder (Remote. Sens., 2018)

Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment. - Eduarda M. O. Silveira; Sérgio Henrique Godinho Silva; Fausto W. Acerbi-Junior; Mônica C. Carvalho; Luis Marcelo T. de Carvalho; José Roberto S. Scolforo; Michael A. Wulder (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Object-Based Change Detection in the Cerrado Biome Using Landsat Time Series. - Inácio T. Bueno; Fausto W. Acerbi-Junior; Eduarda M. O. Silveira; José M. Mello; Luís M. T. Carvalho; Lucas R. Gomide; Kieran Withey; José Roberto S. Scolforo (Remote. Sens., 2019)

Aboveground Woody Biomass Estimation of the Brazilian Cerrado Biome Using Data Integration. - Bárbara Zimbres; Pedro Rodríguez-Veiga; Julia Zanin Shimbo; Polyanna da Conceição Bispo; Heiko Balzter; Mercedes Bustamante; Iris Roitman; Ricardo Haidar; Sabrina do Couto de Miranda; Leticia Gomes; Fabricio Alvim; Eddie Lenza; et al. (IGARSS, 2021)