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Field
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://www.slu.se/en/about-slu/work-at-slu/ Remote Sensing for Integrative Forest Management Description: We are now seeking a PhD candidate to work on the use of remote sensing for integrative forest management (IFM
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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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team for remote sensing for forests. This is a vital and very productive team of professors, researchers, and PhD students, with a large international network covering several research disciplines
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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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). Together, these schemes provide unprecedented spatio-temporal data, alongside regularly-updated remote-sensed data associated with the locations and times of observations, including novel metrics (e.g. non
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time periods. Coupled with other remote sensing variables (e.g. NDVI, canopy height), these datasets offer a foundation for in-depth analysis of forest dynamics. The primary challenge for this PhD