High-resolution stream network delineation using digital elevation models: assessing the spatial accuracy
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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.
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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.27109v1Author comment
Article presented at Geomorphometry 2018 - Boulder, CO
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Giuseppe Amatulli conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Sami Domisch conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.
Jens Kiesel conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.
Tushar Sethi contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.
Dai Yamazaki authored or reviewed drafts of the paper, approved the final draft.
Peter Raymond authored or reviewed drafts of the paper, approved the final draft.
Data Deposition
The following information was supplied regarding data availability:
Commands used are reported in the article
Funding
This study was supported in part by the facilities and staff at the Yale Center for Research Computing (YCRC). The study was supported by NASA grant NNX17AI74G and Yale Institute for Biospheric Studies (YIBS). JK received funding through the "GLANCE" project (Global change effects in river ecosystems; 01LN1320A) supported by the German Federal Ministry of Education and Research (BMBF). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
