Search Results - "FURTADO, Luiz Felipe de Almeida"

Dual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon várzea wetlands by Furtado, Luiz Felipe de Almeida, Silva, Thiago Sanna Freire, Novo, Evlyn Márcia Leão de Moraes

“…This study answered the following questions: 1) Is polarimetric C-band SAR (PolSAR) more efficient than dual-polarization (dual-pol) C-band SAR for mapping…”
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Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques by FURTADO, Luiz Felipe de Almeida, SILVA, Thiago Sanna Freire, FERNANDES, Pedro José Farias, NOVO, Evelyn Márcia Leão de Moraes

“…Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes…”
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Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamirauá Sustainable Development Reserve, Central Amazon floodplain, Brazil by Ferreira-Ferreira, Jefferson, Silva, Thiago Sanna Freire, Streher, Annia Susin, Affonso, Adriana Gomes, de Almeida Furtado, Luiz Felipe, Forsberg, Bruce Rider, Valsecchi, João, Queiroz, Helder Lima, de Moraes Novo, Evlyn Márcia Leão

“…Remote sensing studies of vegetation cover and hydrologic dynamics in Amazonian wetlands have been mostly limited temporally or spatially, and the distribution…”
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Comparação de algoritmos de filtragem em séries temporais de NDVI/MODIS by Pedro José Farias Fernandes, Raúl Sanchez Vicens, Luiz Felipe de Almeida Furtado

“…O uso de séries temporais de índices de Vegetação (IVs) necessita de uma etapa de pré-processamento, devido a ruídos causados pela dinâmica temporal. Para…”
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Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques by Furtado, Luiz Felipe de Almeida, Silva, Thiago Sanna Freire, Fernandes, Pedro Jose Farias, Novo, Evlyn Marcia Leao de Moraes

“…Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon varzea may yield poor accuracy indexes…”
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