An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions
Bibliographic Data
| ID | 12750607 |
|---|---|
| Authors | Lawrence V Stanislawski (0000-0002-9437-0576, United States Geological Survey, corresponding author), Kornelijus Survila (0000-0003-4851-6084, National Center for Supercomputing Applications), Jeffrey Wendel (0000-0003-0294-0250, United States Geological Survey), Yan Liu (0000-0002-1612-779X, University of Illinois Urbana-Champaign), Barbara Buttenfield (0000-0001-5961-5809, University of Colorado Boulder) |
| Year | 2017 |
| Volume | 45 |
| Issue | 4 |
| Pages | 319-328 |
| Publication date | 2017-07-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/15230406.2017.1337524 |
| OpenAlex | W2729404576 |
| Language | EN |
| Citations received | 2 |
| References cited | 21 |
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
Cartography · Data mining · Database · Digital elevation model · Drainage · Drainage basin · Drainage network · Elevation (ballistics · Geography · Geological survey · Hydrography · Hydrology (agriculture · Remote sensing · STREAMS · Terrain · Tributary · Workflow · Computer Science · Engineering · Flood Risk Assessment and Management · Hydrology and Sediment Transport Processes · Hydrology and Watershed Management Studies · Geology
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2020 - 2022 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |