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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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time periods. Coupled with other remote sensing variables (e.g. NDVI, canopy height), these datasets offer a foundation for in-depth analysis of forest dynamics. The primary challenge for this PhD
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). Together, these schemes provide unprecedented spatio-temporal data, alongside regularly-updated remote-sensed data associated with the locations and times of observations, including novel metrics (e.g. non
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framework for southern Africa through the collation of dated and undated archaeological sites across space/time using existing databases, published information & create new data using remote sensed mapping
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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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of soils and vegetation, plant physiology and remote sensing. Students from diverse backgrounds are encouraged to apply. Funding Notes This PhD is funded by The RHS and Greenwood Plants. First class or upper
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greenhouse gas emissions. The role will apply a novel integration of spatial mapping, remote sensing and field-specific modelling to evaluate the drain water levels, drainage system configurations and water
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) to support raised in-field watertables and reduced greenhouse gas emissions. The role will apply a novel integration of spatial mapping, remote sensing and field-specific modelling to evaluate the drain water
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well as remote sensing data. Identification of the largest uncertainty factors in the yield model and improvement of model performance using artificial intelligence methods Support the development of climate