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Land cover data of Upper Parana River Basin, South America, at high spatial resolution
Rudke, Anderson Paulo; Fujita, Thais; Sanches de Almeida, Daniela; Moreira Eiras, Marilia; Freitas Xavier, Ana Carolina; Abou Rafee, Sameh Adib; Barbosa Santos, Eliane; Bueno-Morais, Marcos V.; Droprinchinski Martins, Leila; Andreoli de Souza, Rita Valéria; Ferreira Souza, Rodrigo Augusto; Hallak, Ricardo; Dias de Freitas, Edmilson; Bertacchi Uvo, Cintia; Martins, Jorge Alberto (2019)This study presents a new land cover map for the Upper Paraná River Basin (UPRB-2015), with high spatial resolution (30 m), and a high number of calibration and validation sites. To the new map, 50 Landsat-8 scenes were ...
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Mapping past landscapes using landsat data. Upper Paraná River Basin in 1985
Bueno-Morais, Marcos V.; Rudke, Anderson Paulo; Freitas Xavier, Ana Carolina; Fujita, Thais; Abou Rafee, Sameh Adib; Droprinchinski Martins, Leila; Toledo de Almeida Albuquerque, Taciana; Dias de Freitas, Edmilson; Martins, Jorge Alberto (2020)During the last decades, the science of remote sensing of the Earth's surface has produced an enormous amount of data. In parallel, with the increase in computational capacity, several classification methods have been ...
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Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models
Freitas Xavier, Ana Carolina; Constantino Blain, Gabriel; Bueno-Morais, Marcos V.; Rocha Sobierajski, Graciela da (2019)The selection of an appropriate nonstationary Generalized Extreme Value (GEV) distribution is frequently based on methods, such as Akaike information criterion (AIC), second-order Akaike information criterion (AICc), ...