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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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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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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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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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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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Management is one of Europe’s leading research groups in the field of Earth observation and remote sensing. Within the project “Assessing the impacts of transient forest edges on biophysical conditions and
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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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