Service Description: Tree canopy feature class developed for land cover mapping for the City of Boston.
Service ItemId: 3f0ddf6c8f5e43aaa70099d97d824a3d
Has Versioned Data: false
Max Record Count: 2000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: True
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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.
Spatial Reference: 102686 (2249)
Initial Extent:
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YMin: 2858595.61218659
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Spatial Reference: 102686 (2249)
Full Extent:
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Spatial Reference: 102686 (2249)
Units: esriFeet
Child Resources:
Info
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Supported Operations:
Query
ConvertFormat
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Create Replica