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Description: Data pertaining the arborist planting zones as part of the Urban Forestry Administration (UFA) in the District's Department of Transportatino. UFA's primary mission is to keep the District's street canopy healthy, safe, and growing.

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Layer: DC Trees (11)

Name: DC Trees

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Relationships:

• DCGIS.TreesStructureBenefits (0) -- Related To: DC Tree Structure and Benefits (12)

Layer: UFA Street Trees (23)

Name: UFA Street Trees

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Layer: Urban Tree Canopy by Advisory Neighborhood Commission in 2020 (0)

Name: Urban Tree Canopy by Advisory Neighborhood Commission in 2020

Display Field: NAME

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Description: These data represent Advisory Neighborhood Commissions 2013 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Advisory Neighborhood Commissions within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

Copyright Text: Created by PlanIT Geo, LLC. Arvada, Colorado. For use by the District of Columbia.

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Layer: Urban Tree Canopy by Advisory Neighborhood Commission in 2015 (56)

Name: Urban Tree Canopy by Advisory Neighborhood Commission in 2015

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Layer: Urban Tree Canopy by Census Block in 2020 (1)

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Description: These data represent Census Blocks 2020 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Census Blocks 2020 within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy by Census Block in 2015 (58)

Name: Urban Tree Canopy by Census Block in 2015

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Layer: Urban Tree Canopy by Census Block Group in 2020 (2)

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Description: These data represent Census Block Groups 2020 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Census Block Groups 2020 within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

Copyright Text: Created by PlanIT Geo, LLC. Arvada, Colorado. For use by DDOT UFD.

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Layer: Urban Tree Canopy by Census Block Group in 2015 (57)

Name: Urban Tree Canopy by Census Block Group in 2015

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Layer: Urban Tree Canopy by 2010 Census Block Group in 2020 (3)

Name: Urban Tree Canopy by 2010 Census Block Group in 2020

Display Field: TRACT

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Description: These data represent Census Block Groups 2010 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Census Block Groups 2010 within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

Copyright Text: Created by PlanIT Geo, LLC. Arvada, Colorado. For use by DDOT UFD.

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Layer: Urban Tree Canopy by DC Boundary in 2020 (4)

Name: Urban Tree Canopy by DC Boundary in 2020

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Description: These data represent DC Boundary in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for DC Boundary within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy by DC Owned Property in 2020 (5)

Name: Urban Tree Canopy by DC Owned Property in 2020

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Description: These data represent DC Owned Lots in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for DC Owned Lots within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy at Generalized Ownership Parcel Level in 2020 (6)

Name: Urban Tree Canopy at Generalized Ownership Parcel Level in 2020

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Description: These data represent Common Ownership Generalized in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Common Ownership Generalized within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy at Ownership Lot Level in 2020 (7)

Name: Urban Tree Canopy at Ownership Lot Level in 2020

Display Field: OWNERNAME

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Description: These data represent Common Ownership Lots in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Common Ownership Lots within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy at Ownership Lot Level in 2015 (21)

Name: Urban Tree Canopy at Ownership Lot Level in 2015

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Layer: Urban Tree Canopy by Single Member District in 2020 (9)

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Description: These data represent Single Member Districts 2013 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Single Member Districts within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

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Layer: Urban Tree Canopy by Single Member District in 2015 (60)

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Description: These data represent Wards 2012 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Wards within the study area.UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).

Copyright Text: Created by PlanIT Geo, LLC. Arvada, Colorado. For use by DDOT UFD.

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Layer: Urban Tree Canopy by Ward in 2015 (22)

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

Copyright Text: https://ddot.dc.gov

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Layer: Urban Tree Canopy by 2006 Landuse in 2015 (69)

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

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Layer: Urban Tree Canopy by 2011 Landuse in 2015 (70)

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Layer: Urban Tree Canopy by 2015 Landuse in 2015 (71)

Name: Urban Tree Canopy by 2015 Landuse in 2015

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Description: Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial imagery from the National Agriculture Imagery Program (NAIP), flown in July 2015, and aerial imagery and LiDAR data from Sanborn and the DC Office of the Chief Technology Officer, flown in April 2015.

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Table: DC Tree Structure and Benefits (12)

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Relationships:

• DCGIS.StreetTreeLidarPt (0) -- Related To: DC Trees (11)