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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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technologies for real-time health monitoring and diagnostics. About UCAM-SENS UCAM-SENS is a top-tier research unit dedicated to advancing (bio)electroanalytical sensing for digital transformation in healthcare
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a powerful way for assessing forest stress and disturbances over large areas and to monitor forest vitality over time. This research uses remote sensing technologies together with physical models and
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The UCAM-SENS unit is seeking a PhD student to join the European Project IRHIS (Interoperable Remote Health Innovation brought to Scale). About UCAM-SENS UCAM-SENS is a leading research unit