An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

Lawrence V. Stanislawski; Kornelijus Survila; Jeffrey Wendel; Yan Liu; Barbara P. Buttenfield

doi:10.1080/15230406.2017.1337524

An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

Lawrence V. Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu, Barbara P. Buttenfield

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English
Pages (from-to)	319-328
Number of pages	10
Journal	Cartography and Geographic Information Science
Volume	45
Issue number	4
DOIs	https://doi.org/10.1080/15230406.2017.1337524
State	Published - Jul 4 2018
Externally published	Yes

Funding

The work of Barbara Buttenfield on this research is supported in part by the Grand Challenge Initiative “Earth Lab” funded by the University of Colorado (http://www.color ado.edu/grandchallenges/).

Funders	Funder number
University of Colorado

Keywords

3DEP
Elevation-derived streams
National Hydrography Dataset
high-performance computing
synthetic streams

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10.1080/15230406.2017.1337524

Cite this

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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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An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

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Keywords

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