Name: 2019 Tree Canopy Polygons

Display Field: Shape_Length

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Tree canopy was derived from high-resolution remotely sensed data -- 2018 NAIP and 2019 LiDAR. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2000 and all observable errors were corrected.

Copyright Text: University of Vermont Spatial Analysis Laboratory in collaboration with the City of Boston.

Min. Scale: 0

Max. Scale: 0

Default Visibility: false

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

XMin: 739828.358214179
YMin: 2908285.11507325
XMax: 811878.018876045
YMax: 2970047.23168191
Spatial Reference: 102686 (2249)

Drawing Info:

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HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: FID

Unique ID Field:

Name : FID

IsSystemMaintained : True

Global ID Field:

Type ID Field:

Fields:

• FID (type: esriFieldTypeOID, alias: FID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
• Shape_Leng (type: esriFieldTypeDouble, alias: Shape_Leng, SQL Type: sqlTypeOther, nullable: true, editable: true)
• Shape__Area (type: esriFieldTypeDouble, alias: Shape__Area, SQL Type: sqlTypeDouble, nullable: true, editable: false)
• Shape__Length (type: esriFieldTypeDouble, alias: Shape__Length, SQL Type: sqlTypeDouble, nullable: true, editable: false)

Templates:

Name: 2019 Tree Canopy Polygons
Description:
Drawing Tool: esriFeatureEditToolPolygon
Prototype:

Attributes:

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 12/12/2025 3:14:06 PM

Schema Last Edit Date: 12/12/2025 3:14:01 PM

Data Last Edit Date: 5/12/2021 1:44:31 AM

Supported Operations:   Query   Query Pivot   Query Top Features   Query Analytic   Query Bins   Generate Renderer   Validate SQL   Get Estimates   ConvertFormat