The Digital Geologic Units of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of geologic units mapped as area (polygon) features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). Attributed geologic contact lines that define the geologic unit polygons are present within the Geologic Contacts (GRSMGLGA) data layer. The Geologic Units (GRSMGLG) GIS data layer is also available as a coverage export (.E00) file (GRSMGLG.E00), and as a shapefile (.SHP) file (GRSMGLG.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMGLG_GDB.LYR (geodatabase feature class), GRSMGLG_COV.LYR (coverage), GRSMGLG_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. That data is within the area of interest of Great Smoky Mountains National Park.

The Digital Surficial Units of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of surficial units mapped as area (polygon) features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). Attributed surficial contact lines that define the surficial unit polygons are present within the Surficial Contacts (GRSMSURA) data layer. The Surficial Units (GRSMSUR) GIS data layer is also available as a coverage export (.E00) file (GRSMSUR.E00), and as a shapefile (.SHP) file (GRSMSUR.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMSUR_GDB.LYR (geodatabase feature class), GRSMSUR_COV.LYR (coverage), GRSMSUR_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. The data is within the area of interest of Great Smoky Mountains National Park.

The Digital Point Geologic Units of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of geologic units mapped as point features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). The Point Geologic Units (GRSMGPT) GIS data layer is also available as a coverage export (.E00) file (GRSMGPT.E00), and as a shapefile (.SHP) file (GRSMGPT.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMGPT_GDB.LYR (geodatabase feature class), GRSMGPT_COV.LYR (coverage), GRSMGPT_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. The data is within the area of interest of Great Smoky Mountains National Park.

This is a vector polyline file showing trails at Great Smoky Mountains National Park (GRSM). The data was collected using a Trimble Pro XR GPS receiver with a Trimble Compact Dome Antenna and a Trimble Asset Surveyor hand held data logger. The trail system a Great Smoky Mountains National Park is one of the most important man-made recreational features of the Park. This dataset represents the most comprehensive inventory of both locational and attribute information about the trails systems to date and is considered on of the most important base data layers for the Park. As such GRSM staff will strive to the both spatial and attribute information stored within this dataset up to date in order to best reflect the current status of the trails system at the Park Only Trails that are shown on the official park visitor map and/or listed in the park maintenance system are contained in this dataset. Other trails, while known to the park to exist and clearly used for access to permanent features (e.g. cemeteries, overlooks), are not contained in this dataset due to the parks desire to ensure safety of visitors on park trails. These data are formatted for use by park staff in the park 1:24,000-scale topographic map series, and are classified using the "FCSubtype" field, which classifies a trail segment based on primary use.

This is a vector polyline file showing trails at Great Smoky Mountains National Park (GRSM). The data was collected using a Trimble Pro XR GPS receiver with a Trimble Compact Dome Antenna and a Trimble Asset Surveyor hand held data logger. The trail system a Great Smoky Mountains National Park is one of the most important man-made recreational features of the Park. This dataset represents the most comprehensive inventory of both locational and attribute information about the trails systems to date and is considered on of the most important base data layers for the Park. As such GRSM staff will strive to the both spatial and attribute information stored within this dataset up to date in order to best reflect the current status of the trails system at the Park Only Trails that are shown on the official park visitor map and/or listed in the park maintenance system are contained in this dataset. Other trails, while known to the park to exist and clearly used for access to permenant features (e.g. cemeteries, overlooks), are not contained in this dataset due to the parks desire to ensure safety of visitors on park trails. These data are formated for use by park staff in the park 1:24,000-scale topographic map series, and are classified using the "FCSubtype" field, which classifies a trail segment based on primary use.

The Digital Geologic Sample Localities of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of geologic sample localities mapped as point features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). The Geologic Sample Localities (GRSMGSL) GIS data layer is also available as a coverage export (.E00) file (GRSMGSL.E00), and as a shapefile (.SHP) file (GRSMGSL.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMGSL_GDB.LYR (geodatabase feature class), GRSMGSL_COV.LYR (coverage), GRSMGSL_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. The data is within the area of interest of Great Smoky Mountains National Park.

The Great Smoky Mountains National Park Hydrology dataset is a value-added attribution of data produced by Great Smoky Mountains National Park and published by the USGS NHD. Not to be confused with the USGS NHD Plus Dataset, the park has published these data as an interim while the NHD Plus "catches up" with recently-updated NHD Stream Data within the park footprint. These data have been attributed in the following way: Strahler Stream Order: In the Strahler method, all links without any tributaries are assigned an order of 1 and are referred to as first order. The stream order increases when streams of the same order intersect. Therefore, the intersection of two first-order links will create a second-order link, the intersection of two second-order links will create a third-order link, and so on. The intersection of two links of different orders, however, will not result in an increase in order. For example, the intersection of a first-order and second-order link will not create a third-order link but will retain the order of the highest ordered link. If the node is a leaf (has no children), its Strahler number is one. If the node has one child with Strahler number i, and all other children have Strahler numbers less than i, then the Strahler number of the node is i again. If the node has two or more children with Strahler number i, and no children with greater number, then the Strahler number of the node is i + 1. The Strahler number of a tree is the number of its root node. Algorithmically, these numbers may be assigned by performing a depth-first search and assigning each node's number in postorder. The same numbers may also be generated via a pruning process in which the tree is simplified in a sequence of stages, where in each stage one removes all leaf nodes and all of the paths of degree-one nodes leading to leaves: the Strahler number of a node is the stage at which it would be removed by this process, and the Strahler number of a tree is the number of stages required to remove all of its nodes. Another equivalent definition of the Strahler number of a tree is that it is the height of the largest complete binary tree that can be homeomorphically embedded into the given tree; the Strahler number of a node in a tree is similarly the height of the largest complete binary tree that can be embedded below that node. Any node with Strahler number i must have at least two descendants with Strahler number i − 1, at least four descendants with Strahler number i − 2, etc., and at least 2i − 1 leaf descendants. Therefore, in a tree with n nodes, the largest possible Strahler number is log2 n. However, unless the tree forms a complete binary tree its Strahler number will be less than this bound. In an n-node binary tree, chosen uniformly at random among all possible binary trees, the expected index of the root is with high probability very close to log4. Sinuosity: A river’s sinuosity is its tendency to move back and forth across its floodplain, in an S-shaped pattern, over time. As the stream meanders across the flood plain, it may leave behind scars of where the river channel once was. A stream that doesn't meander at all has a sinuosity of 1. The more meanders in a stream, the closer the sinuosity value will get to 0. For single-thread stream channels, the sinuosity index is calculated for each reach using its two endpoints (Upstream point A, Downstream point B). The ratio of the sinuous length tho the straight-line distance is Channel Sinuosity value for the reach. The sinuous length is measured down the centerline of the channel. Divide the sinuous length by the straight-line distance between the same two points. Sinuosity values range from 1 to 4 (or so). A completely straight channel will have a sinuosity of 1. Channels with ratios ~1.5 are called sinuous channels. Channels with higher ratios are called meandering channels. Values are commonly reported to two decimal places, but there’s no firm rule. This is a very large

The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966, the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources

This database includes all data related to long-term vegetation monitoring performed by GRSM I&M staff from 2003-2009. Data collection methods follow Jenkins 2008 protocol, and are generally referred to as the GRSM Vegetation Monitoring plots. This program ended in 2009 and was replaced with the Vital Signs program, however, this database will still occasionally be updated as research partners revisit plots.

This is a vector polygon file showing the historic range forest types at Great Smoky Mountains National Park. The data was collected from a historic map drawn by Frank Miller, Assistant Forester, in 1938. The map was scanned using a Vidar color scanner and the digital images were brought into ArcMap. The map was originally divided into 4 separate panels, thus there were 4 separate image files. Each image was Georectified, Clipped and then the Mosaic tool was employed to create one large map image. Two feature classes, one a point feature class and the other a polyline feature class, were then created. The polyline class was used to digitize the boundary of each area of vegetation and a point containing the attributes of each area was placed within. After digitizing, the polyline layer was converted to a polygon feature class and the attribute table from the point layer was joined to the corresponding polygon within the feature class.