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environments that aims to address how distributed sensing, fibre-optic monitoring, environmental observations, drone- and satellite-based data, operational infrastructure datasets, and/or machine learning can be
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sensing data (satellite, LiDAR, drone or aerial imagery), strong geospatial analytical skills, and proven field and/or laboratory experience in land use change, ecosystem dynamics, biodiversity
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-atmosphere fluxes of carbon, water, and energy in arctic environments. Observations from eddy flux towers, drones carrying meteorological sensors and gas analyzers, soil sensors, and satellite imagery
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Programme under Portugal2030 and the European Union, operation code COMPETE2030-FEDER-02975500 (n.º 24829) taking place at the Department of Informatics of the University of Beira Interior (http
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of an observing system for land-atmosphere fluxes of carbon, water, and energy in arctic environments. Observations from eddy flux towers, drones carrying meteorological sensors and gas analyzers, soil sensors, and
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ground- and drone-based measurements—along with satellite data, into land-surface and boundary-layer models, drawing on the department’s unique infrastructure of eddy flux towers, drone platforms, and data