生成高质量的不透水覆盖数据。

Sandra L. Bird, Linda R. Exum, Stephen W. Alberty
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引用次数: 12

摘要

随着美国人口的增长,来自城市和郊区的非点源污染(NPS)正在迅速增加。近年来的研究一致表明,流域中不透水覆盖的百分比与接收流的健康状况之间存在很强的关系。在本文中,我们量化了美国马里兰州弗雷德里克县56个14位水文单位代码(huc)内的不透水覆盖面积。该测试数据集将有助于开发全区域不透水覆盖估算方法。开发了软件、采样和分析系统,以产生准确和可重复的结果。选取美国地质调查局的数字正射影像四分之一四边形(DOQQ)作为分析的基本介质。在地理信息系统(GIS)软件和原型“覆盖工具”扩展的帮助下,人类分析人员识别和分类了地面特征。
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Generating high quality impervious cover data.
Nonpoint source pollution (NPS) from urban or suburban areas is rapidly increasing as the population increases in the United States. Research in recent years has consistently shown a strong relationship between the percentage of impervious cover in a drainage basin and the health of the receiving stream. In this paper, we quantify the amount of impervious cover within 56 14-digit hydrologic unit codes (HUCs) in Frederick County, Maryland, USA. This test data set will help in the development of region-wide impervious cover estimation methodologies. The software, sampling and analysis systems were developed to yield accurate and reproducible results. Digital orthophoto quarter quadrangles (DOQQ) from the U.S. Geological Survey were chosen as the basic media for the analysis. Ground features were identified and categorized by human analysts with the help of Geographic Information System (GIS) software and a prototype "cover tool" extension.
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