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Automatic generation of hypsometric layers for small-scale maps


Leonowicz, A M; Jenny, B; Hurni, L (2009). Automatic generation of hypsometric layers for small-scale maps. Computers & Geosciences, 35(10):2074-2083.

Abstract

This paper describes a new method for hypsometric tinting for small-scale maps. The method generalises digital elevation models by removing small unnecessary details and
accentuating major valleys and ridgelines. The elevation data are filtered with lower and upper quartile filters that are combined using a drainage network. The lower quartile filter is applied in valleys, delimited by the drainage network, the upper quartile filter is used elsewhere. The level of generalisation is adjusted by simplifying the drainage network with an algorithm that removes the shortest streams. The resulting hypsometric layers match the quality standards of manually
generalised reference layers and are appropriate for small-scale mapping.

Abstract

This paper describes a new method for hypsometric tinting for small-scale maps. The method generalises digital elevation models by removing small unnecessary details and
accentuating major valleys and ridgelines. The elevation data are filtered with lower and upper quartile filters that are combined using a drainage network. The lower quartile filter is applied in valleys, delimited by the drainage network, the upper quartile filter is used elsewhere. The level of generalisation is adjusted by simplifying the drainage network with an algorithm that removes the shortest streams. The resulting hypsometric layers match the quality standards of manually
generalised reference layers and are appropriate for small-scale mapping.

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6 citations in Web of Science®
5 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2009
Deposited On:23 Dec 2009 09:13
Last Modified:05 Apr 2016 13:35
Publisher:Elsevier
ISSN:0098-3004
Publisher DOI:https://doi.org/10.1016/j.cageo.2008.12.012

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