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Ecosystems/USFS_EDW_TCA_RoadDensity (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Enterprise Map Viewer   ArcGIS Earth

Service Description:

Direct Download (Raster Data Gateway)

Objective: Identify locations where roads are present at a density that impacts the quality of wildlife habitat and fragments the landscape.

Data: A national roads vector dataset has been acquired from the USGS National Transportation Dataset. The data were reattributed to represent three classes: (1) Unimproved, (2) Paved, (3) Light Duty roads. The new classes correspond to the following classes from the National Transportation Dataset:

  1. Unimproved: Four-wheel drive roads.

  2. Paved: Controlled access highway, Secondary Highway or Major Connecting Road, Ramps

  3. Light Duty: Local Connecting Roads, Local Roads

    Data Format: Polylines were converted to a raster for each TCA assessment year. The value at a pixel corresponds to the class of road at that location. Values differ slightly between the years:

    2024: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

    2023: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other

    2022: 1- Light Duty, 2- Paved, 3- Unimproved

    2021: 1- Light Duty, 2- Paved, 3- Unimproved

    2020: 1- Light Duty, 2- Paved, 3- Unimproved, 4- Other, 5- Decommissioned

    Spatial Resolution: 10m

    Source data: USGS National Transportation Dataset

    Additional Resources:

    Details on Method Changes and Source Data Versions

    Overview of the Terrestrial Condition Assessment: TCA Hubsite or Landfire Office Hour Presentation

    Explore the results of the most recent assessment: TCA Interactive Data Viewer

    Learn more about the TCA KPI: TCA Dashboard

    Name: Ecosystems/USFS_EDW_TCA_RoadDensity

    Description:

    Single Fused Map Cache: false

    Extent:

    Initial Extent:
      XMin: -1.47673783757E7
      YMin: 2922878.326899998
      XMax: -6992928.375700001
      YMax: 6775488.326899998
      Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

    Full Extent:
      XMin: -1.47673783757E7
      YMin: 2922878.326899998
      XMax: -6992928.375700001
      YMax: 6775488.326899998
      Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

    Time Info:
      Start Time Field: StdTime
      End Time Field: StdTime
      Time Extent:
        [2020/01/01 00:00:00 UTC, 2024/01/01 00:00:00 UTC]

      Time Reference: N/A
    Pixel Size X: 10.0

    Pixel Size Y: 10.0

    Band Count: 1

    Pixel Type: U4

    RasterFunction Infos: {"rasterFunctionInfos": [ { "help": "", "name": "RoadDensity", "description": "TCA Ind03 Road Density" }, { "help": "", "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset." }, { "help": "", "name": "Roads", "description": "A raster function template." } ]}

    Mensuration Capabilities: Basic

    Inspection Capabilities:

    Has Histograms: true

    Has Colormap: false

    Has Multi Dimensions : true

    Rendering Rule:

    Min Scale: 0

    Max Scale: 0

    Copyright Text: USFS, USDA, GO, USGS

    Service Data Type: esriImageServiceDataTypeGeneric

    Min Values: 1

    Max Values: 5

    Mean Values: 1.474595145874968

    Standard Deviation Values: 0.83126729884286898

    Object ID Field: objectid

    Fields:
    • objectid ( alias: objectid , type: esriFieldTypeOID )
    • name ( length: 200 , alias: name , type: esriFieldTypeString )
    • minps ( alias: minps , type: esriFieldTypeDouble )
    • maxps ( alias: maxps , type: esriFieldTypeDouble )
    • lowps ( alias: lowps , type: esriFieldTypeDouble )
    • highps ( alias: highps , type: esriFieldTypeDouble )
    • category ( alias: category , type: esriFieldTypeInteger , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
    • tag ( length: 100 , alias: tag , type: esriFieldTypeString )
    • groupname ( length: 100 , alias: groupname , type: esriFieldTypeString )
    • productname ( length: 100 , alias: productname , type: esriFieldTypeString )
    • centerx ( alias: centerx , type: esriFieldTypeDouble )
    • centery ( alias: centery , type: esriFieldTypeDouble )
    • zorder ( alias: zorder , type: esriFieldTypeInteger )
    • shape ( alias: shape , type: esriFieldTypeGeometry )
    • feature ( length: 24 , alias: feature , type: esriFieldTypeString )
    • year ( length: 8 , alias: year , type: esriFieldTypeDate )
    • stdtime ( length: 8 , alias: Standard Time , type: esriFieldTypeDate )
    • dimensions ( length: 50 , alias: Dimensions , type: esriFieldTypeString )
    • variable ( length: 50 , alias: Variable , type: esriFieldTypeString )
    • st_area(shape) ( alias: st_area(shape) , type: esriFieldTypeDouble )
    • st_perimeter(shape) ( alias: st_perimeter(shape) , type: esriFieldTypeDouble )
    Default Mosaic Method: ByAttribute

    Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None

    SortField: StdTime

    SortValue: 0

    Mosaic Operator: First

    Default Compression Quality: 75

    Default Resampling Method: Majority

    Max Record Count: 1000

    Max Image Height: 100000

    Max Image Width: 100000

    Max Download Image Count: 20

    Max Mosaic Image Count: 20

    Allow Raster Function: true

    Allow Copy: true

    Allow Analysis: true

    Allow Compute TiePoints: false

    Supports Statistics: true

    Supports Advanced Queries: true

    Use StandardizedQueries: true

    Raster Type Infos:
      Name: Raster Dataset
      Description: Supports all ArcGIS Raster Datasets
      Help:
    Has Raster Attribute Table: false

    Edit Fields Info: N/A

    Ownership Based AccessControl For Rasters: N/A

    Child Resources:   
    Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos   Multidimensional Info   Slices

    Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project