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Service Description: NLCD 2016 natural versus converted land cover for CONUS and is derived from the CONUS NLCD 2016 level 2 land cover dataset.For authoritative documentation see this NPS Data Store record. See the NPS Environmental Settings protocol for more information.

Name: LandscapeDynamics/NPS_IMD_Landcover_CONUS_NaturalConverted_NLCD2016v16

Description: NLCD 2016 natural versus converted land cover for CONUS and is derived from the CONUS NLCD 2016 level 2 land cover dataset.For authoritative documentation see this NPS Data Store record. See the NPS Environmental Settings protocol for more information.

Single Fused Map Cache: false

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Spatial Reference: 102039  (102039)

Initial Extent:

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YMin: 177255
XMax: 2342685
YMax: 3310005
Spatial Reference: 102039  (102039)

Full Extent:

XMin: -2493045
YMin: 177255
XMax: 2342685
YMax: 3310005
Spatial Reference: 102039  (102039)

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Pixel Size Y: 30.0

Band Count: 1

Pixel Type: U2

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Mensuration Capabilities: Basic

Inspection Capabilities:

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Copyright Text: NPS Inventory and Monitoring Division

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 1

Max Values: 2

Mean Values: 1.7216294278196

Standard Deviation Values: 0.44819682814856

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

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Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

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Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos:

Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:

Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project