文章基本信息

标题：Hydrographic Feature Generalization in Dry Mountainous Terrain
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作者：Lawrence Stanislawski ; Barbara P. Buttenfield
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII Part 4
出版社：Copernicus Publications
摘要：A wide variety of climate and terrain conditions exist in the United States and optimal cartographic generalization techniques forone area of the country may not be suitable for another, particularly when working with surface hydrographic data. This paperpresents generalization and data modelling to produce reduced scale versions of hydrographic data for a multi-resolution nationaldata set, The National Map, of the United States Geological Survey (USGS). The approach distinguishes regional differences ingeographic factors to demonstrate that knowledge about varying terrain and climate conditions can support the design of tailoredgeneralization operations that preserve distinct hydrographic patterns. Hydrographic generalization procedures are being tailoredfor different terrain (mountainous, hilly, and flat) and climate (humid and dry) conditions within the United States. Wedemonstrate using a sequence of automated generalization operations tailored for a dry mountainous subbasin watershed of theUnited States National Hydrography Dataset (NHD). NHD data for the subbasin, compiled from 1:24,000-scale source material,were generalized to create hydrographic data that are appropriate for cartographic mapping at scales between about 1:50,000 and1:200,000. Generalization results are metrically compared to a 1:100,000-scale NHD benchmark through the Coefficient of LineCorrespondence (CLC) and the Coefficient of Area Correspondence (CAC). Confidence intervals for the CLC and CAC aregenerated through a non-parametric bootstrapping approach. These metrics and associated confidence intervals can help establishthe geographic extents that are suitable for each set of tailored generalization procedures
关键词：automated generalization; National Hydrography Dataset; coefficient of line correspondence