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Description: Bertie County shapefile for 2 foot contours. There are three attribute fields. ELEVATION - Number of feet above sealevel. TILE - Identifies the four digit county index tile location. INTERVAL - Identifies the contour interval. (2, 4, 10, 20, 100, or 500 foot interval) Elevation Range: -4 to 171 feet. Elevation Mean: 37.1451 Feet Elevation Standard Deviation: 22.6515
Copyright Text: LIDAR data is maintained by the Flood Mapping Program.
Description: Ashe County shapefile for 4 foot contours. There are three attribute fields. ELEVATION - Number of feet above sealevel. TILE - Identifies the four digit county index tile location. INTERVAL - Identifies the contour interval. (2, 4, 10, 20, 100, or 500 foot interval) Elevation Range: 2141 to 5210 feet. Elevation Mean: 3199.2286 Feet Elevation Standard Deviation: 408.2079
Copyright Text: LIDAR data is maintained by the Flood Mapping Program.
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Description: The dataset provided includes line data that represents all of the standard gauge freight and passenger railroad track in North Carolina, and contains the following information: owner, operator, track type, branch, beginning milepost, ending milepost, in service status, and out of service date (where applicable).The linework was digitized based on the most recent statewide aerial photography provided by the State of North Carolina.Select areas of inactive track have been added to the dataset to aid in preserved and future corridor analysis.
Copyright Text: North Carolina Department of Transporation Rail Division, Tavla Solutions, subsidiary of Moffat & Nichol, Dwight Otwell, Amy Mindick-Walling, Jason Weiger
Description: This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps.
Description: The North Carolina Department of Transportation - GIS Unit developed the digital GIS Municipal Boundaries - Powell Bill 2012 data set from the 2012 Powell Bill boundaries which incorporated municipalities in North Carolina that participate in the Powell Bill Program are required to submit to NCDOT on a regular basis. Boundaries of municipalities which do not participate in the Powell Bill Program are also included in the layer. These boundaries are periodically updated from maps and GIS data submitted by the local towns or counties to the North Carolina Department of Transportation - GIS Unit. Sources for the boundaries vary in scale and format based on what was supplied.
Copyright Text: These data are maintained by the Data Conversion Group of the North Carolina Department of Transportation - GIS Unit.
Description: The North Carolina Division of Coastal Management (DCM) has developed a coastal area wetlands conservation plan which relies on adequate knowledge of the location and extent of wetlands by watershed in coastal NC. After reviewing existing data, DCM determined that none of the data could be used exclusively as a wetlands inventory for the conservation plan. Therefore, DCM has developed wetland mapping methods using geographic information systems (GIS) and existing spatial data to accommodate a limited time schedule and large land area. Three primary spatial data layers provide information that are assembled into the DCM wetlands data. These layers are the National Wetlands Inventory (NWI), county soils (DSL), and classified land use/land cover from TM satellite imagery. In addition, an update was performed using a more recent version of land use/land cover data. The NWI and DSL data are 1:24,000 scale, vector data. The imagery is 30 meter resolution, filtered and unfiltered, raster data. Extracting the most relevant information from each of these layers allows DCM to produce the best information about the location and extent of Coastal Plain wetlands available today. DCM's classification scheme is based on both vegetative cover and hydrogeomorphic character. Wetland classes currently recognized by DCM are: Salt/Brackish Marsh, Estuarine Shrub-Shrub, Estuarine Forest, Maritime Swamp Forest, Freshwater Marsh, Pocosin, Bottomland Hardwood, Swamp Forest, Headwater Swamp, Hardwood Flat, Pine Flat, Managed Pineland, Human Impacted. In addition, modifiers may be applied to any of these categories indicating that they have been partially drained, cleared of vegetation, or recently cutover. An automated Arc/Info model considers the NWI classification and the imagery classification in assigning a wetland type to each polygon. Soil types are used to determine whether or not marginal areas are considered to be wetlands, including managed pine areas. Once the automation is complete, an interactive session allows the user to assign wetlands to classes specific to their position in the landscape. A hydrographic data layer is used in addition to the layers mentioned previously to more easily interpret the landscape position and hydrogeomorphology (HGM) of the wetlands. For example, a temporarily flooded, hardwood area may be classified as bottomland hardwood or hardwood flat, depending on its location: adjacent to a stream or within an interfluvial divide, respectively. Finally, each wetland is assigned to an HGM class of riverine, flat/depressional, headwater or estuarine. In addition to automated and manual processing, and a limited amount of field verification is performed.
Copyright Text: North Carolina Department of Environment and Natural Resources Division of Coastal Management.