Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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
Description: Using the 2018 tree canopy data, each street segment was assigned to a stree ROW provided by the city. The area of tree canopy was divided by the total ROW street segment to retrieve a tree canopy percentage. Data was then mapped into five classes and added to the UTC report.
Description: With the size of the study area measured at approximately 10 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
Description: With the size of the study area measured at approximately 10 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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