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The study of mass and energy transfer across landscapes has recently evolved to comprehensive considerations acknowledging the role of biota and humans as geomorphic agents, as well as the importance of small-scale landscape features. A contributing and supporting factor to this evolution is the emergence over the last two decades of technologies able to acquire high resolution topography (HRT) (meter and sub-meter resolution) data. Landscape features can now be captured at an appropriately fine spatial resolution at which surface processes operate; this has revolutionized the way we study Earth-surface processes. The wealth of information contained in HRT also presents considerable challenges. For example, selection...
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This project team developed a Web-hosted application (that can also be used on mobile platforms) for automatic analysis of images of sediment for grain-size distribution, using the “Digital Grain Size” (DGS) algorithm of Buscombe (2013) (“DGS-Online,” 2015). This is a free, browser-based application for accurately estimating the grain-size distribution of sediment in digital images without any manual intervention or even calibration. It uses the statistical algorithm of Buscombe (2013) that estimates particle size directly from the spatial distribution of light intensity within the image. The application is designed to batch-process tens to thousands of images, utilizing cloud computing storage and processing technologies....
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