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Arielle Elias Arantes

Researcher at Universidade Federal de Goiás

Publications -  12
Citations -  279

Arielle Elias Arantes is an academic researcher from Universidade Federal de Goiás. The author has contributed to research in topics: Vegetation & Biome. The author has an hindex of 7, co-authored 10 publications receiving 217 citations. Previous affiliations of Arielle Elias Arantes include Federal University of Ceará.

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Distribution Patterns of Burned Areas in the Brazilian Biomes: An Analysis Based on Satellite Data for the 2002–2010 Period

TL;DR: Although no unequivocal correlation can be established between burned areas and new land conversions, the conspicuous concentration of fire scars, particularly in Amazon–Cerrado transition is certainly not a simple coincidence, and corroborate the need of improved territorial governance, in addition to the implementation of systematic fire warning and preventive systems.
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The seasonal carbon and water balances of the Cerrado environment of Brazil: Past, present, and future influences of land cover and land use

TL;DR: In this paper, the authors analyzed the differences in the net primary productivity (NPP-proxy), carbon, and the evapotranspiration flux of the major Cerrado natural and anthropic landscapes.
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Satellite-based hydrological dynamics of the world's largest continuous wetland

TL;DR: In this paper, the authors investigated the potential for closing the water balance purely from remote sensing (RS) sources and quantify the hydrological dynamic of the Pantanal (Brazil), the world's largest continuous wetland.
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Principal component analysis applied to a time series of MODIS images: the spatio-temporal variability of the Pantanal wetland, Brazil

TL;DR: In this paper, a principal component analysis (PCA) was applied to a complete annual dataset of filtered EVI2 images (based on a 12-year average over the 2001-2012 period).
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Biophysical Properties of Cultivated Pastures in the Brazilian Savanna Biome: An Analysis in the Spatial-Temporal Domains Based on Ground and Satellite Data

TL;DR: This study was the regional assessment of pasture biophysical properties, through the scaling of wet- and dry-season ground truth data (total biomass, green biomass, and % green cover) via the combined use of high (Landsat-TM) and moderate (MODIS) spatial resolution vegetation index images.