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Cited by 3,466

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Digital terrain modelling: A review of hydrological, geomorphological, and biological applications

Moore, I. D., Grayson, R. B., Ladson, A. R.·1991·Hydrological Processes

Abstract

The topography of a catchment has a major impact on the hydrological, geomorphological, and biological processes active in the landscape. The spatial distribution of topographic attributes can often be used as an indirect measure of the spatial variability of these processes and allows them to be mapped using relatively simple techniques. Many geographic information systems are being developed that store topographic information as the primary data for analysing water resource and biological problems. Furthermore, topography can be used to develop more physically realistic structures for hydrologic and water quality models that directly account for the impact of topography on the hydrology. Digital elevation models are the primary data used in the analysis of catchment topography. We describe elevation data sources, digital elevation model structures, and the analysis of digital elevation data for hydrological, geomorphological, and biological applications. Some hydrologic models that make use of digital representations of topography are also considered.

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Crossref · 10.1002/hyp.3360050103

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Metadata

Authors
Moore, I. D., Grayson, R. B., & Ladson, A. R.
Venue
Hydrological Processes
Publisher
Wiley
Published
1991-01
Volume
5
Issue
1
Pages
3-30
ISSN
  • 0885-6087 (ISSN-L)
  • 1099-1085
OpenAlex
W2143296882
Cited by
3,466
References
1
FWCI
37.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. https://app.cochat.ai/papers/10.1002/hyp.3360050103
The paper
Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes. https://doi.org/10.1002/hyp.3360050103

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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.