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Field
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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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of vegetation health. Translate insights gained to the exploitation of current radar satellite missions. You will be supervised by Professor Susan Steele-Dunne, an expert in microwave remote sensing of vegetation
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using remotely sensed data Apply for this job See advertisement About the position Faculty of Environmental Sciences and Natural Resource Management (MINA) at Norwegian University of Life Sciences (NMBU
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Advancing the monitoring of seagrass dynamics with hyperspectral remote sensing Project description: Seagrasses provide numerous ecological functions and ecosystem services, including food and
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 2 months ago
Preparation of remotely sensed observations, e.g., from GRACE and Swarm satellites Assimilation of gravimetry and electromagnetic observations Analysis of modelled and state estimated geophysical systems
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the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing
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. 2020; Millar et al. 2007). Recent advancements in remote sensing, exemplified by high-resolution biomass maps such as MapBiomas (Souza et al. 2020), provide unprecedented data on forests over extended
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description: The Department of Agroecology at Aarhus University, Denmark, is offering a PhD position in integrating remote sensing data and process-based agroecosystem modelling, starting 15-09-2024 or as soon