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has clear potential in transforming our environment to be more liveable, sustainable and convenient. However, to ensure economic viability with off-peak times and relatively remote locations, while
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the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line Managers. The project particularly emphasizes ambient and remote sensing techniques, connectivity for healthcare, and
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-Information Science and Remote Sensing (GRS), which is led by Prof. Sytze de Bruin . You will be co-supervised by Dr Nandika Tsendbazar and Dr Marc Russwurm. Where to apply Website https://www.academictransfer.com/en
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work here The research is embedded within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Sytze de Bruin . You will be co-supervised by Dr Nandika Tsendbazar and
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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radiative transfer modelling (2) explore the near-real time inversion of remote sensing of forest disturbances using emulation (3) use a library of digital twin forests to understand the uncertainties in
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute