An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions |
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| Authors: | Lawrence V Stanislawski Kornelijus Survila Jeffrey Wendel Yan Liu Barbara P Buttenfield |
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| Institution: | 1. U.S. Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, USA;2. National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA;3. Department of Geography, University of Colorado-Boulder, Boulder, CO, USA |
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| Abstract: | This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D Elevation Program elevation data having a nominal cell size of 10 m. This research demonstrates the utility of open source tools with parallel computing support for extracting connected drainage network patterns and handling depressions in 30 subbasins distributed across humid, dry, and transitional climate regions and in terrain conditions exhibiting a range of slopes. Special attention is given to low-slope terrain, where network connectivity is preserved by generating synthetic stream channels through lake and waterbody polygons. Conflation analysis compares the extracted streams with a 1:24,000-scale National Hydrography Dataset flowline network and shows that similarities are greatest for second- and higher-order tributaries. |
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| Keywords: | Elevation-derived streams synthetic streams 3DEP high-performance computing National Hydrography Dataset |
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