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	Provedor de dados Acta Amazonica (2) Autor SILVA,Thiago Sanna Freire (2) FERNANDES,Pedro José Farias (1) FRAGAL,Everton Hafemann (1) FURTADO,Luiz Felipe de Almeida (1) NOVO,Evelyn Márcia Leão de Moraes (1) NOVO,Evlyn Márcia Leão de Moraes (1) Mais... Palavra-chave Wetlands (2) Flooded forest (1) Land use change (1) Landsat (1) Monitoring (1) Remote sensing (1) Synthetic aperture radar (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2016 (1) 2015 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques Acta Amazonica 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. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion... Tipo: Info:eu-repo/semantics/article Palavras-chave: Wetlands; Remote sensing; Synthetic aperture radar. Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672015000200195 Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm Acta Amazonica FRAGAL,Everton Hafemann; SILVA,Thiago Sanna Freire; NOVO,Evlyn Márcia Leão de Moraes. ABSTRACTThe Amazon várzeas are an important component of the Amazon biome, but anthropic and climatic impacts have been leading to forest loss and interruption of essential ecosystem functions and services. The objectives of this study were to evaluate the capability of the Landsat-based Detection of Trends in Disturbance and Recovery (LandTrendr) algorithm to characterize changes in várzeaforest cover in the Lower Amazon, and to analyze the potential of spectral and temporal attributes to classify forest loss as either natural or anthropogenic. We used a time series of 37 Landsat TM and ETM+ images acquired between 1984 and 2009. We used the LandTrendr algorithm to detect forest cover change and the attributes of "start year", "magnitude", and "duration"... Tipo: Info:eu-repo/semantics/article Palavras-chave: Wetlands; Flooded forest; Land use change; Monitoring; Landsat. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672016000100013 Registros recuperados: 2 Primeira ... 1 ... Última

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