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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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Methods This project investigates the cascading impacts of wildfires on the atmosphere, land systems, and human health. The core science questions are: How do wildfire emissions affect atmospheric
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Methods Per- and polyfluoroalkyl substances (PFAS) are a class of over 14,000 synthetic “forever chemicals” that persist in the environment and the human body, where they are linked to cancers, immune
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person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
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to continuously learn, adapt, and refine world models in self-adaptive and autonomous systems. Specifically, the research will investigate how AI-based methods can support the evolution and updating of transition
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to continuously learn, adapt, and refine world models in self-adaptive and autonomous systems. Specifically, the research will investigate how AI-based methods can support the evolution and updating of transition
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. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and Methods Nature-based solutions, such as the reintroduction of large wood
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and highlight areas where further interventions or monitoring may be desirable. Objective 3: Evaluate NEOM’s active regreening efforts, such as planting and irrigation, using a multi-method approach
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Methods This project will explore how Interferometric Synthetic Aperture Radar (InSAR) loop closure, derived from the summation of phases in three closed multilooked interferograms, can be used to monitor
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Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil