Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 490

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas

Costa‐Cabral, Mariza C., Burges, Stephen J.·1994·Water Resources Research

Abstract

Current algorithms for computing contributing areas from a rectangular grid digital elevation model (DEM) use the flow‐routing model of O'Callaghan and Mark (1984), which has two major restrictions: (1) flow which originates over a two‐dimensional pixel is treated as a point source (nondimensional) and is projected downslope by a line (one dimensional) (Moore and Grayson, 1991), and (2) the flow direction in each pixel is restricted to eight possibilities. We show that large errors in the computed contributing areas result for any terrain topography: divergent, convergent, or planar. We present a new model, called digital elevation model networks (DEMON), which avoids the above problems by representing flow in two dimensions and directed by aspect. DEMON allows computation of both contributing and dispersal areas. DEMON offers the main advantage of contour‐based models (e.g., Moore et al., 1988), the representation of varying flow width over nonplanar topography, while having the convenience of using rectangular grid DEMs.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1029/93wr03512

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Cited by

See all 490

Metadata

Authors
Costa‐Cabral, M. C., & Burges, S. J.
Venue
Water Resources Research
Published
1994-06
Volume
30
Issue
6
Pages
1681-1692
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2109600288
Cited by
490
References
18
FWCI
12.82
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas. https://app.cochat.ai/papers/10.1029/93wr03512
The paper
Costa‐Cabral, M. C., & Burges, S. J. (1994). Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas. Water Resources Research. https://doi.org/10.1029/93wr03512

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.