r06/R06_lidar_R_CanopyHeight (ImageServer)

View In: ArcGIS JavaScript ArcGIS Online Map Viewer ArcGIS Earth

Service Description: This is a mosaic dataset of LiDAR derived canopy height digital surface models. The Canopy Height digital surface model (DSM) is created using a Light Detection And Ranging (LiDAR) point cloud. The algorithm used to create the Canopy Surface DSM assigns the elevation of the highest return within each 0.5 meter grid cell to the grid cell center. Specialized logic preserves local maxima in the surface while smoothing (3x3 median) to force the surface to adhere to the tops of trees. For additional information regarding the creation of Canopy Height DSM, please refer to the Fusion software manual. http://forsys.cfr.washington.edu/fusion/FUSION_manual.pdf.

Name: r06/R06_lidar_R_CanopyHeight

Description: This is a mosaic dataset of LiDAR derived canopy height digital surface models. The Canopy Height digital surface model (DSM) is created using a Light Detection And Ranging (LiDAR) point cloud. The algorithm used to create the Canopy Surface DSM assigns the elevation of the highest return within each 0.5 meter grid cell to the grid cell center. Specialized logic preserves local maxima in the surface while smoothing (3x3 median) to force the surface to adhere to the tops of trees. For additional information regarding the creation of Canopy Height DSM, please refer to the Fusion software manual. http://forsys.cfr.washington.edu/fusion/FUSION_manual.pdf.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 0.5

Pixel Size Y: 0.5

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "A No-Op Function.", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Data Resources Management (DRM), Pacific Northwest Region, Forest Service, U.S. Department of Agriculture

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0

Max Values: 123.24154663085938

Mean Values: 9.979067306348172

Standard Deviation Values: 12.076084877983183

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: esriFieldTypeInteger, alias: Year )
Forest ( type: esriFieldTypeString, alias: Forest, length: 5 )

Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute

SortField: Year

SortValue: 0

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 25

Max Mosaic Image Count: 25

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 Histograms 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