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Layer: Canopy Cover (ID: 9)

Name: Canopy Cover

Display Field: Class

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>This dataset is a representation of forest patches derived from the tree canopy class in the 2012high-resolution land cover dataset. Three classes of forest patches were derived: 1) small, 2) medium, and 3) large. A customized algorithm using object-based image analysis techniques within the eCognition software package was to divide the tree canopy into the forest patch classes based on a combination of </SPAN><SPAN><SPAN>a combination of size, edge to perimeter ratio, length, and width. In general, small patches represent individual trees or small rows of trees. Medium patches represent clumps of trees, often in suburban or agricultural settings, that are fragmented and may or may not have a duff layer. Large forest patches consist of forested stands that in most cases will have a duff layer.</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>End users of this layer should note that this forest patch classification is one approach and the dataset should be evaluated so as to understand its capabilities and limitations before using for decision making purposes.</SPAN></P></DIV></DIV></DIV>

Service Item Id: a51ca1982d654144b820dbad96d90c21

Copyright Text: University of Vermont Spatial Analysis Laboratory

Default Visibility: false

MaxRecordCount: 200000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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