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Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset

Computers, Environment and Urban Systems

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DOI: 10.1016/j.compenvurbsys.2009.07.004

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Abstract

The United States Geological Survey has been researching generalization approaches to enable multiple-scale display and delivery of geographic data. This paper presents automated methods to prune network and polygon features of the United States high-resolution National Hydrography Dataset (NHD) to lower resolutions. Feature-pruning rules, data enrichment, and partitioning are derived from knowledge of surface water, the NHD model, and associated feature specification standards. Relative prominence of network features is estimated from upstream drainage area (UDA). Network and polygon features are pruned by UDA and NHD reach code to achieve a drainage density appropriate for any less detailed map scale. Data partitioning maintains local drainage density variations that characterize the terrain. For demonstration, a 48 subbasin area of 1:24 000-scale NHD was pruned to 1:100 000-scale (100 K) and compared to a benchmark, the 100 K NHD. The coefficient of line correspondence (CLC) is used to evaluate how well pruned network features match the benchmark network. CLC values of 0.82 and 0.77 result from pruning with and without partitioning, respectively. The number of polygons that remain after pruning is about seven times that of the benchmark, but the area covered by the polygons that remain after pruning is only about 10% greater than the area covered by benchmark polygons. ?? 2009.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Feature pruning by upstream drainage area to support automated generalization of the United States National Hydrography Dataset
Series title:
Computers, Environment and Urban Systems
DOI:
10.1016/j.compenvurbsys.2009.07.004
Volume
33
Issue:
5
Year Published:
2009
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Computers, Environment and Urban Systems
First page:
325
Last page:
333