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Layer: Land_Use (1)

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Description: With the size of the study area measured at approximately 22.28 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.

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Layer: Priority_Planting_Level (2)

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Description: To help the city of Tracy, California increase its canopy coverage, an urban tree canopy assessment was conducted to determine the current land cover. This analysis makes it possible to identify the areas available to plant trees. Further analysis to identify the most suitable locations was also conducted. Each planting location was assigned a priority ranking for stormwater, urban heat island, and a composite overall ranking.

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Spatial Reference: 102100  (3857)



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Layer: Land_Coverx (3)

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Spatial Reference: 102100  (3857)



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Layer: Subdivision (4)

Name: Subdivision

Display Field: uniqid

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Description: With the size of the study area measured at approximately 22.28 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.

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Spatial Reference: 102100  (3857)



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Layer: Parks (5)

Name: Parks

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Description: With the size of the study area measured at approximately 22.28 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.

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Spatial Reference: 102100  (3857)



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Layer: Parcels (6)

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Description: With the size of the study area measured at approximately 22.28 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.

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Spatial Reference: 102100  (3857)



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Layer: Landscape_Maintenance_Districts (7)

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Description: With the size of the study area measured at approximately 22.28 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.

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Spatial Reference: 102100  (3857)



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Layer: Tree_Inventory (8)

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Layer: Tree_Health_Index (9)

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Layer: Forest_Fragmentation (10)

Name: Forest_Fragmentation

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Table: PriorityPlantingSum (11)

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