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Stephen Grebby

Researcher at University of Nottingham

Publications -  45
Citations -  1213

Stephen Grebby is an academic researcher from University of Nottingham. The author has contributed to research in topics: Interferometric synthetic aperture radar & Geology. The author has an hindex of 14, co-authored 37 publications receiving 895 citations. Previous affiliations of Stephen Grebby include University of Leicester & British Geological Survey.

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Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover

TL;DR: In this paper, the authors investigated changes in storm runoff resulting from the transformation of previously rural landscapes into peri-urban areas and found that the degree of area serviced by storm drainage was a stronger determinant of storm runoff response than either impervious area or development type and that little distinction in hydrological response exists between urban and periurban developments of similar impervious cover when no significant hydraulic alteration is present.
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Application of airborne LiDAR to mapping seismogenic faults in forested mountainous terrain, southeastern Alps, Slovenia

TL;DR: In this article, the first airborne LiDAR survey was conducted in Europe for the purpose of mapping the surface expression of earthquake-prone faults, including the Idrija and Ravne strike-slip faults.
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A machine learning approach to geochemical mapping

TL;DR: In this article, quantile regression forests (an elaboration of random forests) are used to investigate the potential of high resolution auxiliary information alone to support the generation of accurate and interpretable geochemical maps.
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Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging.

TL;DR: Hyperspectral imaging was applied for the first time to whole green coffee beans, at a single seed level, for quantitative prediction of sucrose, caffeine and trigonelline content, and the spatial distribution of coffee constituents was successfully visualised for single beans.
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Integrating airborne multispectral imagery and airborne LiDAR data for enhanced lithological mapping in vegetated terrain

TL;DR: In this article, the authors used LiDAR-derived topographic data for detailed lithological mapping in a vegetated section of the Troodos ophiolite (Cyprus) in arid areas with well exposed rocks and soils.