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giswr
> events
> 1st nhda symposium
> tuesday >
implementing nhd spatial data
Implementing NHD Spatial
Data in the U.S. Forest Service NRIS Water Application
The U.S. Forest Service Natural Resource Information System
(NRIS) Water application is designed to implement corporate
data standards and promote integrated management of aquatic
resource information, including physical and biotic data
about stream and lake systems, water rights, and watershed
improvement projects. The application consists of an Oracle
database at its core, with supporting forms, reports, and
add on tools which support user defined requirements. One
of the primary requirements for the application was to represent
survey units, watershed improvement sites, and water right
structures in the GIS environment to facilitate spatial
display and analysis. All of the data supported within the
NRIS Water application is associated with real world physical
features (e.g. segments of streams, lakes, roads, and points)
that can be represented in GIS. The NRIS Water application
refers to these as water map objects. Key to the design
of the application is the use of water map objects to relate
different types of data collected on one feature, or time
series data collected on the same feature. To support this
concept, a business rule was developed that requires all
data entered into the database to be associated with a water
map object, represented as a feature in a GIS. The first
implementation of NRIS Water utilized GIS Core Data Standards
internal to the Forest Service. Recent agency direction
is to change the GIS Core Data Standards for linear hydrography
and waterbodies to support the NHD data model. This decision
was made primarily to support a National standard and to
allow the agency to easily share data with a broad base
of Federal and State agencies, and other publics. The use
of spatial data in the NRIS Water application and the incorporation
of the NHD data model will be presented. Issues, challenges,
and solutions in incorporating the NHD spatial data model
will be discussed.
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