CV Lattes
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Ministério da Ciência, Tecnologia e Inovação (Brasil). Instituto Nacional de Pesquisas Espaciais (INPE) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Forest Engineer, graduated from the Federal University of Viçosa (UFV), with a master's degree in Tropical Forest Sciences from the National Institute for Amazonian Research (INPA), a Ph.D. in Remote Sensing from the National Institute for Space Research (INPE), and a postdoctoral researcher (FAPESP) at the Greenhouse Gas Research and Innovation Center (RCGI/USP/INPE). Currently, she is a Research and Development Specialist at re.green, a large-scale forest restoration company. Passionate about Biogeosciences, specifically Tropical Forest Ecology and Carbon Cycle. She has extensive experience in organizing field surveys and processing multitemporal active and passive remote sensing data applied to the study of tropical forest dynamics in the Amazon and greenhouse gas emissions modeling. (Source: Lattes Curriculum)
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Across the tropics, Land Use and Land Cover Change (LULCC) is a major source of Greenhouse Gases (GHG) emissions. Brazil, for example, is the world's 6th largest emitter of GHG, and ~40% of those emissions are derived from LULCC. Most of those emissions are from deforestation and degradation of humid tropical forests in the Amazon basin, which stores ~100 Pg of carbon in biomass and necro…
Forest fires in the Brazilian Amazon may be responsible for over 50% of global emissions due to land use changes. However, the long-term impacts of fires in the Amazon forests are still poorly quantified, especially in the regions far from the arc of deforestation, less known by fire occurrence. The Brazilian government and research funding agencies have prioritized studies that support e…
LiDAR remote sensing is laser scanning technology which is being extensively used to monitor vast and remote forest areas in recent years. The application, evaluation and improvement of already developed LiDAR processing techniques are thus important to investigate human and climate-induced forest degradation in the Amazon. In this context, the present BEPE project covers all LiDAR-relate…
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