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activity. All the data will be compared with drone thermal measurements of the fire, coordinated with collaborators focusing on the remote sensing aspect of the project, and aim to scale estimates
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activity. All the data will be compared with drone thermal measurements of the fire, coordinated with collaborators focusing on the remote sensing aspect of the project, and aim to scale estimates
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). Collaborative interdisciplinary research and training are hallmarks of the SGDP. [AB1] The ADHD Remote Technology (ART) research programme, led by Professors Jonna Kuntsi and Richard Dobson, focuses
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using remote sensing imagery, automated landslide detection algorithms, and empirical modelling. They will compare the locations and volumes of landslide sediment flux to sediment bombs mapped within
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flood inundation down the river network. The successful applicant will be expected to quantify sediment flux to rivers from both shallow and deep landslides using remote sensing imagery, automated
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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our