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This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This tree canopy layer was created via a machine learning algorithm, using leaf-on aerial imagery flown in the summer of 2022. The results were refined based on quality-checking by SEMCOG staff, though some incorrect classification may remain.
The source imagery was flown by Nearmap, the AI algorithm belongs to Ecopia. Please see the Use Limitation section of this metadata document for details on how the data may be used.
This feature class represents the 2020 Southeast Michigan geographic and cartographic information from the Census Bureau's MAF/TIGER (Master Address File/Topologically Integrated Geographic Encoding and Referencing) database.
This feature class represents the 2020 Southeast Michigan geographic and cartographic information from the Census Bureau's MAF/TIGER (Master Address File/Topologically Integrated Geographic Encoding and Referencing) database.