Hosted/Tree_Canopy_2014_SD (FeatureServer)

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Tree_Canopy_2014_SD (0)

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.

Service Item Id: b2797d86f6c7453fb12976222e0c29be

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

Spatial Reference: 102646 (2230)

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Units: esriFeet

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Supports ApplyEdits With Global Ids: true

Supports Dynamic Layers: false

Child Resources: Info Replicas Relationships

Supported Operations: Query Query Contingent Values Apply Edits Append Create Replica Synchronize Replica Unregister Replica