Gabriel Bragion is an Environmental Engineer from the Federal University of Technology – Paraná (UTFPR). He holds a Master’s and a PhD from the National Institute for Space Research (INPE/Brazil). During his career, Gabriel participated in two exchange programs: one in Geoenvironmental Sciences at the University of Trier (Germany) and another at NASA/USRA (United States) during his PhD.
His PhD research focused on the analysis of night-time satellite images from the VIIRS/DNB sensor. By identifying and calibrating time series of night-time images, his goal was to classify different types of settlements based on the patterns of night-time lights over time. These patterns provided insights into general living conditions and access to basic services (e.g., urban infrastructure, healthcare) across the Brazilian Legal Amazon. During his time at NASA/USRA, Gabriel contributed to the training and validation of AI-based models for detecting outliers in night-time light data, often caused by outages and natural disasters.
As an International Research Fellow at ESA’s Φ-lab, Gabriel’s research focuses on estimating above-ground carbon stocks in the Amazon rainforest, leveraging databases such as the CCI Biomass project and the upcoming ESA BIOMASS mission
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