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CONTEXT <br />2.2 Developing the <br />Pleasanton Urban <br />Forest Master Plan <br />The City of Pleasanton began the process of developing <br />the UFMP in March of 2023. The City Landscape Architect, <br />Landscape Architect Assistant, and Parks Division Manager <br />were the main staff responsible for overseeing the UFMP's <br />development and provided important insights into the City's <br />urban forestry practices, as well as the specific City standard <br />documents and other data sets that were crucial for analysis. <br />These City staff also coordinated with internal and external <br />stakeholders, and co -hosted community engagement <br />50 1 CITY OF PLEASANTON URBAN FOREST MASTER PLAN <br />events which shed light on the community's interactions <br />and perspectives around City trees. The following sections <br />detail the analysis, community engagement activities, and <br />processes involved in developing the UFMP: <br />2.2.1 Urban Forest <br />Inventory and Analysis <br />Public Tree Inventory <br />Between June 2023 and March 2024, tree inventory data <br />was collected for all City -managed trees, including along city <br />sidewalks, medians, parks, City facilities, and the Callippe <br />Preserve Golf Course. An accurate inventory helps determine <br />the current condition and associated benefits of City trees <br />and inform management recommendations. <br />Canopy Cover Analysis <br />High-resolution aerial imagery and LiDAR data from 2022 <br />were developed into a land classification layer to determine <br />the City's canopy cover. Canopy cover was then processed <br />for the years 2012, 2018, and 2022 to identify total area <br />covered by tree canopy from both City trees and private <br />property trees over time. This analysis determined if the <br />City's tree canopy is increasing, decreasing or remaining the <br />same, and informed the canopy cover goals for the City of <br />Pleasanton. See Appendix F for the full methodology on the <br />Land Cover Classification and Canopy Change Analysis <br />