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Cited by 593

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Drainage networks from grid digital elevation models

Fairfield, John, Leymarie, Pierre·1991·Water Resources Research

Abstract

Current algorithms that deduce the drainage network from a digital elevation model (DEM) represented by a regular array of surface elevations share a fault: Unless the terrain is rugged, the derived water channels tend to flow in parallel lines along preferred directions engendered by the sampling grid orientation. We present a simple solution to the problem. A second difficulty is the presence of noise that creates artificial pits. We briefly describe a method which deals with pits in what we believe to be a more efficient manner for virtual memory environments than previous efforts. Our system has treated DEMs of nearly 9,000,000 pixels. We show how depth first search of the resulting drainage network permits segmentation of the DEM into basins by various criteria, analysis of stream‐sediment anomaly dilution profiles, improved hydrological models and other applications.

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Crossref · 10.1029/90wr02658

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Metadata

Authors
Fairfield, J., & Leymarie, P.
Venue
Water Resources Research
Published
1991-05
Volume
27
Issue
5
Pages
709-717
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2167507651
Cited by
593
References
6
FWCI
8.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Drainage networks from grid digital elevation models. https://app.cochat.ai/papers/10.1029/90wr02658
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Fairfield, J., & Leymarie, P. (1991). Drainage networks from grid digital elevation models. Water Resources Research. https://doi.org/10.1029/90wr02658

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.