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A Multi-Scale Geomorphometric Approach to Semi-Automated Classification of Seabed Morphology of a Dynamic and Complex Marine Meander Bend

Geomorphology(2022)SCI 2区SCI 3区

Geol Survey Denmark & Greenland GEUS

Cited 2|Views18
Abstract
Seabed geodiversity comprises abiotic seabed structures and functions that form valuable natural resources, foundation for benthic habitats and marine ecosystems, and requires knowledge based, sustainable management. Geomorphological mapping involves delineation of surface features based on form, material composition and formative processes. We present an approach that applies methods of scale analysis and geomorphometric classification to characterize seabed morphology and interpretation of geomorphic units in a dynamic and complex marine meander bend. Seabed morphology was delineated using the morphometry as template supported by the DEM and associated surface derivatives. The seabed morphology served as input to an interpretation of geomorphic units applying a fluvial classification scheme in channelized marine settings. We demonstrate the potential of using a (semi-) automated morphometric classification scheme to support the characterization of high-resolution seabed morphology based on descriptive definitions and the potential of translating a fluvial classification scheme in channelized marine settings.
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Digital Elevation Model,Multi -scale analysis,Geomorphometry,Seabed morphology,Geomorphology,Classification analysis
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要点】:本研究提出了一种多尺度地貌计量方法,实现了对动态复杂海域蛇形弯道海底形态的半自动化分类,为海底地貌单元的解释提供了新的途径。

方法】:研究通过应用尺度分析方法和地貌计量分类来描绘海底形态,并借助数字高程模型(DEM)及其相关表面衍生数据作为模板。

实验】:实验部分使用该方法对动态复杂海域蛇形弯道的海底形态进行了分类,具体数据集未在摘要中提及,但结果表明,该半自动化分类方案有助于基于描述性定义的高分辨率海底地貌形态表征,并有望将河流行地貌分类方案应用于渠道化海洋环境中。