Now showing items 1-5 of 5
Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques
(Acta Amazonica, 2015-06-01) [Artigo]
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 ...
Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil
(Wetlands Ecology And Management, 2015-02-01) [Artigo]
Remote sensing studies of vegetation cover and hydrologic dynamics in Amazonian wetlands have been mostly limited temporally or spatially, and the distribution and spatial configuration of Amazonian varzea habitats remains ...
Effects of the flooding gradient on tree community diversity in varzea forests of the purus river, central Amazon, Brazil
(Biotropica, 2015-03-01) [Artigo]
Amazonian floodplain forests have remarkable variation in tree diversity and structure related to flood duration. We assessed how floodplain forests respond to the continuum flooding gradient and found that Fisher's values ...
Reconstrução histórica de mudanças na cobertura florestal em várzeas do baixo amazonas utilizando o algoritmo landtrendr
(Acta Amazonica, 2016-01-01) [Artigo]
The 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 ...
Dual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon várzea wetlands
(Remote Sensing of Environment, 2016-03-01) [Artigo]
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 várzea floodplain vegetation types, when using images of a single ...