Short communication: A tool for determining multiscale bedform characteristics from bed elevation data
نویسندگان
چکیده
Abstract. Systematic identification and characterization of bedforms from bathymetric data are crucial in many studies fluvial processes. Automated accurate processing bed elevation is challenging where dune fields complex or irregular (especially) multiple scales co-exist. Here, we introduce a new tool to quantify properties representing large primary smaller superimposed secondary dunes. A first step the procedure decompose using LOESS algorithm. Steep lee-side slopes dunes preserved by implementing objective breaks algorithm, accounting for discontinuities profiles at toe slope. The steep lee then approximated fitting sigmoid function. Following decomposition data, identified based on zero crossing, morphological calculated. approach bedform presented herein particularly applicable filtering conventional continuously differentiable functions could thus easily lead undesired smoothing morphology. Application two maps demonstrates that it successfully decomposes identifies dunes, preserves steeper
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ژورنال
عنوان ژورنال: Earth surface dynamics
سال: 2022
ISSN: ['2196-6311', '2196-632X']
DOI: https://doi.org/10.5194/esurf-10-865-2022