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GioLandPublic/HRL_SmallWoodyFeatures_2015_005m (ImageServer)

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Service Description: Framework service contract for the Copernicus Land monitoring services: High Resolution land cover characteristics for the 2015 reference year. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. VHR imagery (DEIMOS-2, Pleiades 1A, Pleiades 1B, GeoEye-1, SPOT 6, SPOT 7, WorldView-2, WorldView-3 images from 2015) made available in the ESA Copernicus DWH will be the main data source for the detection of small woody features identifiable within the given image resolution. The Small Woody Features (SWFs) layer contains woody linear, and small patchy elements, but will not be differentiated into trees, hedges, bushes and scrub. The spatial pattern shall be limited to linear structures and isolated patches (patchy structures) on the basis of geometric characteristics. Additional Woody Features (AWFs) are also included in this product. They consist of woody structures that do not fulfil the SWF geometric specifications but which are connected to valid SWFs structures.

Name: GioLandPublic/HRL_SmallWoodyFeatures_2015_005m

Description: Framework service contract for the Copernicus Land monitoring services: High Resolution land cover characteristics for the 2015 reference year. Small woody landscape features are important vectors of biodiversity and provide information on fragmentation of habitats with a direct potential for restoration while also providing a link to hazard protection and green infrastructure, amongst others. VHR imagery (DEIMOS-2, Pleiades 1A, Pleiades 1B, GeoEye-1, SPOT 6, SPOT 7, WorldView-2, WorldView-3 images from 2015) made available in the ESA Copernicus DWH will be the main data source for the detection of small woody features identifiable within the given image resolution. The Small Woody Features (SWFs) layer contains woody linear, and small patchy elements, but will not be differentiated into trees, hedges, bushes and scrub. The spatial pattern shall be limited to linear structures and isolated patches (patchy structures) on the basis of geometric characteristics. Additional Woody Features (AWFs) are also included in this product. They consist of woody structures that do not fulfil the SWF geometric specifications but which are connected to valid SWFs structures.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 4.999999999999998

Pixel Size Y: 4.999999999999998

Band Count: 1

Pixel Type: U8

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

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: European Environment Agency (EEA)

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 0

Max Values: 3

Mean Values: 1.751383342154646

Standard Deviation Values: 0.9686252638589522

Object ID Field: OBJECTID

Fields: 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: 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: 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 Boundary   Compute Pixel Location   Compute Angles   Validate   Project