LandCoverLayer
With the size of the study area measured at approximately 51.46 square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals.
[]
[{'name': 'OBJECTID', 'type': 'esriFieldTypeOID', 'alias': 'OBJECTID', 'domain': None}, {'name': 'Shape', 'type': 'esriFieldTypeGeometry', 'alias': 'Shape', 'domain': None}, {'name': 'CoverClass', 'type': 'esriFieldTypeString', 'alias': 'CoverClass', 'length': 50, 'domain': None}, {'name': 'ACRES', 'type': 'esriFieldTypeDouble', 'alias': 'ACRES', 'domain': None}, {'name': 'PERCENT', 'type': 'esriFieldTypeDouble', 'alias': 'PERCENT', 'domain': None}, {'name': 'Shape_Length', 'type': 'esriFieldTypeDouble', 'alias': 'Shape_Length', 'domain': None}, {'name': 'Shape_Area', 'type': 'esriFieldTypeDouble', 'alias': 'Shape_Area', 'domain': None}]
[{'name': 'FDO_OBJECTID', 'fields': 'OBJECTID', 'isAscending': True, 'isUnique': True, 'description': ''}, {'name': 'FDO_Shape', 'fields': 'Shape', 'isAscending': True, 'isUnique': False, 'description': ''}]
[]
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nan
nan