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will research strategies on including physics and enhance active learning as well as aim at reducing catastrophic forgetting. You will research how to uncover uncertainties that are hidden to sensors and
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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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measurement techniques to reduce uncertainties and biases in N flux monitoring, including proximal sensing, remote sensing, Eddy covariance and in-situ continuous sampling accompanied by traditional laboratory
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uncertainties and biases in N flux monitoring, including proximal sensing, remote sensing, Eddy covariance and in-situ continuous sampling accompanied by traditional laboratory analyses. NitroScope will benefit