Jefferson Ferreira-Ferreira

TL;DR: In this paper, the authors compared the ability of different data sources (airborne LiDAR and HSI, and their combination) and regression methods (linear model - LM, linear model with ridge regularization - LMR, Support Vector Regression - SVR, Random Forest - RF, Stochastic Gradient Boosting - SGB, and Cubist - CB) to improve AGB predictions in the Brazilian Amazon.

TL;DR: The present work mapped black-water floodplain forests (igapó) downstream of the Balbina Reservoir, which was created between 1983 and 1987 by damming the Uatumã River in the Central Amazon basin, and detected that 29% of the remaining living igapó forest may be presently undergoing mortality.

TL;DR: In this paper, the authors used multitemporal PALSAR L-band radar imagery combined with object-based image analysis, data mining techniques and field data to derive vegetation structure and inundation patterns and characterize major vegetation types in varzea forests of the Mamiraua Sustainable Development Reserve.

TL;DR: In this article, advances in satellite-based remote sensing (RS) have brough brough the Amazon basin to the world's largest river basin, which is of major importance to the global climate and water resources.

TL;DR: Habitats that remain dry for longer periods showed more mammalian occurrence, suggesting that dispersion via soil is important even for semi-arboreal species.