High-resolution stream network delineation using digital elevation models: assessing the spatial accuracy
1
Yale University, NEW HAVEN, CT, United States
2
Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
3
Spatial-Ecology, Redruth, Cornwall, UK
4
Institute of Industrial Science, The University of Tokyo,, Tokyo, Japan
- Published
- Accepted
- Subject Areas
- Spatial and Geographic Information Science
- Keywords
- DEM, Topography, Stream Network, Geocomputation
- Copyright
- © 2018 Amatulli et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. High-resolution stream network delineation using digital elevation models: assessing the spatial accuracy. PeerJ Preprints 6:e27109v1 https://doi.org/10.7287/peerj.preprints.27109v1
Abstract
We used the hydrologically corrected Multi-Error- Removed Improved-Terrain Digital Elevation Model at a 3 arc- second (90 m) spatial resolution to derive a seamless, standardized stream network by using GRASS-GIS hydrological modules. We compared the spatial accuracy of the derived stream network with the NHDPlusV2 dataset across the conterminous Unites States. The results demonstrate that spatial accuracy is in the order of 1 pixel displacement compared to the NHDPlusV2 locations, indicating a high level of accuracy. The implemented methodology will be extended to a global scale hydrography in an upcoming project.
Author Comment
Article presented at Geomorphometry 2018 - Boulder, CO