RDW_LandscapeAndWildlife/Science_SE

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Service Description: The USDA Forest Service (USFS) builds two versions of percent tree canopy cover (TCC) data to serve needs of multiple user communities. These datasets encompass the conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: - The raw model outputs referred to as the annual Science data; and - A modified version built for the National Land Cover Database referred to as NLCD data. They are available at the following locations: https://data.fs.usda.gov/geodata/rastergateway/treecanopycover https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife NLCD: https://www.mrlc.gov/datahttps://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife. The Science data are the initial annual model outputs that consist of two images: percent tree canopy cover (TCC) and standard error. These data are best suited for users who will carry out their own detailed statistical and uncertainty analyses on the dataset, and place lower priority on the visual appearance of the dataset for cartographic purposes. Datasets for the nominal years of 2008 through 2021 are available. The Science data were produced using a random forests regression algorithm. For standard error data, the initial standard error estimates that ranged from 0 to approximately 45 were multiplied by 100 to maintain data precision in unsigned 16 bit space (e.g., 45 = 4500). Therefore, standard error estimates pixel values range from 0 to approximately 4500. The value 65534 represents the non-processing area mask where no cloud or cloud shadow-free data are available to produce an output, and 65535 represents the background value. The Science data are accessible for multiple user communities, through multiple channels and platforms. For information on the NLCD TCC data and processing steps see the NLCD metadata. Information on the Science data and processing steps are included here.

Name: RDW_LandscapeAndWildlife/Science_SE_CONUS

Description: The USDA Forest Service (USFS) builds two versions of percent tree canopy cover (TCC) data to serve needs of multiple user communities. These datasets encompass the conterminous United States (CONUS), Coastal Alaska, Hawaii, and Puerto Rico and U.S. Virgin Islands (PRUSVI). The two versions of data within the v2021-4 TCC product suite include: - The raw model outputs referred to as the annual Science data; and - A modified version built for the National Land Cover Database referred to as NLCD data. They are available at the following locations: https://data.fs.usda.gov/geodata/rastergateway/treecanopycover https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife NLCD: https://www.mrlc.gov/datahttps://apps.fs.usda.gov/fsgisx01/rest/services/RDW_LandscapeAndWildlife. The Science data are the initial annual model outputs that consist of two images: percent tree canopy cover (TCC) and standard error. These data are best suited for users who will carry out their own detailed statistical and uncertainty analyses on the dataset, and place lower priority on the visual appearance of the dataset for cartographic purposes. Datasets for the nominal years of 2008 through 2021 are available. The Science data were produced using a random forests regression algorithm. For standard error data, the initial standard error estimates that ranged from 0 to approximately 45 were multiplied by 100 to maintain data precision in unsigned 16 bit space (e.g., 45 = 4500). Therefore, standard error estimates pixel values range from 0 to approximately 4500. The value 65534 represents the non-processing area mask where no cloud or cloud shadow-free data are available to produce an output, and 65535 represents the background value. The Science data are accessible for multiple user communities, through multiple channels and platforms. For information on the NLCD TCC data and processing steps see the NLCD metadata. Information on the Science data and processing steps are included here.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Time Info:

[2008/01/01 00:00:00 UTC, 2021/12/31 00:00:00 UTC]

Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 1

Pixel Type: U16

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "ScienceSE_RFT2", "description": "ScienceSE RFT exported from Pro. Let's see if this works.", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Funding for this project was provided by the U.S. Forest Service (USFS). RedCastle Resources produced the dataset under contract to the USFS Geospatial Technology and Applications Center.

Service Data Type: esriImageServiceDataTypeThematic

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )
Year ( type: esriFieldTypeSmallInteger, alias: Year )
BeginTime ( type: esriFieldTypeString, alias: BeginTime, length: 8 )
EndTime ( type: esriFieldTypeString, alias: EndTime, length: 8 )

Default Mosaic Method: Northwest

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

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 5000

Max Image Width: 5000

Max Download Image Count: 20

Max Mosaic Image Count: 45

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:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Statistics Key Properties Legend Raster Function Infos

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

RDW_LandscapeAndWildlife/Science_SE_CONUS (ImageServer)