hydrography/wet_areas_mapping_classified_depth_to_water

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Service Description: This data collection contains wet areas map data derived from one metre spatial resolution digital terrain models, which were in turn interpolated from lidar ground returns. These data estimate depth to water, or the distance between the bare ground surface and the cartographically referenced water table surface below. Note that this surface stores categorical data representing broad groupings of depth to water estimates, predicted streams, and bog features, and should not be used for quantitative analyses. Continuous depth to water estimates are available. For additional information about this dataset, please contact the Forest Management Branch, Forestry Division, Alberta Agriculture and Forestry, Government of Alberta at AF.WetAreasMapping@gov.ab.ca. If a copy of the data is required, please contact the Data Distribution Unit, Provincial Geospatial Centre, Operational ServicesBranch, Strategy and Governance Division, Alberta Environment and Parks, Government of Alberta at AEP.Data@gov.ab.ca or 780-427-7374.

Name: hydrography/wet_areas_mapping_classified_depth_to_water_estimates

Description: The primary purpose of this dataset is to identify the potential presence of wet areas which may be sensitive to disturbance. Early identification of these features in the planning process should contribute to achieving goals related to land stewardship and sustainability. This product was initially developed to assist Alberta's forest sector in ensuring the sustainability of sensitive wet areas and aquatic habitats.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 1.0

Pixel Size Y: 1.0

Band Count: 1

Pixel Type: U8

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

Mensuration Capabilities: None

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Alberta Agriculture and Forestry, and the University of New Brunswick, Forest Watershed Research Centre. Note that the wet areas mapping algorithm was developed by the Forest Watershed Research Centre.

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 1

Max Values: 7

Mean Values: 2.3573651031670444

Standard Deviation Values: 1.8272619391234526

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
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] , ...5 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
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CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape.STArea() )
Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )

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: 4100

Max Image Width: 15000

Max Download Image Count: 0

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:

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 Query Identify 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

hydrography/wet_areas_mapping_classified_depth_to_water_estimates (ImageServer)