Name: TREECANOPY_2014_SANDIEGO

Display Field: TreeCanopy

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Tree canopy was derived from 2014 high-resolution remotely sensed data. 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 1:3000 and all observable errors were corrected.

Copyright Text: University of Vermont Spatial Analysis Laboratory in colaboration with City of San Diego.

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Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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YMin: 3827550.12373572
XMax: -13002863.5781464
YMax: 3963323.73185911
Spatial Reference: 102100 (3857)

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Object ID Field: OBJECTID

Unique ID Field:

Name : OBJECTID

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Global ID Field:

Type ID Field:

Fields:

• TreeCanopy (type: esriFieldTypeInteger, alias: TreeCanopy, SQL Type: sqlTypeOther, nullable: true, editable: true)
• Shape_Leng (type: esriFieldTypeDouble, alias: Shape_Leng, SQL Type: sqlTypeOther, nullable: true, editable: true)
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Templates:

Name: TREECANOPY_2014_SANDIEGO
Description:
Drawing Tool: esriFeatureEditToolPolygon
Prototype:

Attributes:

• TreeCanopy: 0
• Shape_Leng: 0

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Last Edit Date: 11/19/2021 6:39:07 AM

Schema Last Edit Date: 11/19/2021 6:39:07 AM

Data Last Edit Date: 11/19/2021 6:39:07 AM

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