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This website provides information about the National Stream Internet, which had two goals: 1) refine key spatial and statistical stream software and digital databases for compatibility so that a nationally consistent analytical infrastructure exists and is easy to apply; and 2) engage a grassroots user-base in application of this infrastructure so they are empowered to create new and valuable information from stream databases anywhere in the country. This website is a hub designed to connect users with software, data, and tools for creating that information. The website can be found at: https://www.fs.fed.us/rm/boise/AWAE/projects/NationalStreamInternet.html.
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The National Stream Internet (NSI) project was funded by the LCC program and led by researchers from USFS, CSIRO, NOAA, and USGS. The project developed a national analytical infrastructure for stream data that can be applied consistently anywhere in the country to develop new information at low cost. To create that infrastructure, the NSI project developed compatibility among key digital stream geospatial data and analysis tools. Those included the EPA/USGS NHD-Plus v.2 stream hydrography layer, sets of stream reach descriptors, and tools for implementing spatial statistical network models. The NSI enables consistent application of sophisticated analysis tools to many types of stream data throughout the U.S. Moreover,...
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The rate at which new information about stream resources is being created has accelerated with the recent development of spatial stream-network models (SSNMs), the growing availability of stream databases, and ongoing advances in geospatial science and computational efficiency. To further enhance information development, the National Stream Internet (NSI) project was developed as a means of providing a consistent, flexible analytical infrastructure that can be applied with many types of stream data anywhere in the country. A key part of that infrastructure is the NSI network, a digital GIS layer which has a specific topological structure that was designed to work effectively with SSNMs. The NSI network was derived...
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