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James D. Hansom

Researcher at University of Glasgow

Publications -  142
Citations -  2746

James D. Hansom is an academic researcher from University of Glasgow. The author has contributed to research in topics: Glacier & Ice sheet. The author has an hindex of 26, co-authored 140 publications receiving 2496 citations. Previous affiliations of James D. Hansom include University of Sheffield & University of Canterbury.

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Distribution, geomorphology and lithofacies of cliff-top storm deposits: Examples from the high-energy coasts of Scotland and Ireland

TL;DR: The authors examined the distribution, geomorphology and lithofacies of cliff-top storm deposits (CTSDs) at sites from Shetland, Orkney, Caithness and the Outer Hebrides in Scotland and from the Aran Islands in Galway Bay in Ireland.
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The value of carbon sequestration and storage in coastal habitats

TL;DR: In this article, the authors used the UK coastal habitat area between 1900 and 2060 to develop methodologies to quantify and value the ecosystem service of blue carbon sequestration and storage in coastal margin habitats.
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Modelling the processes of cliff-top erosion and deposition under extreme storm waves

TL;DR: In this paper, the wave conditions and forces encountered at cliff-face and cliff-top platform and propose mechanisms to link wave processes to cliffface quarrying and land-ward cliff top transport of quarried blocks to deposition zones at the rear of the cliff top platform.
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Engaging with geodiversity—why it matters

TL;DR: The 2010 Engaging with Geodiversity Conference as mentioned in this paper focused on the wider relevance of geodiversity in Scotland and highlighted the need to integrate geoscience, geoconservation and voluntary sectors at both national and local levels, not only to demonstrate convincingly the economic, social, cultural and environmental values and benefits of geodesic diversity, but also to deliver real outcomes for both people and nature.
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The effect of sediment type on the relationship between reflectance and suspended sediment concentration

TL;DR: In this article, the use of remotely-sensed optical data to estimate the suspended sediment concentration (SSC) of water is dependent upon the correlation between SSC and reflectance.