Service Description: The trees growing within a city’s boundaries—in parks, open spaces, along roadways, and on privately owned property—provide many public benefits. Trees can remove carbon dioxide from the air, reduce storm water runoff, reduce heat islands, and improve residents’ perception of neighborhood safety and walkability. Increasing the urban tree canopy is one goal in the City of San Diego’s Climate Action Plan, so methods to quantify its progress are needed.
San Diego’s entire urban tree canopy was last mapped in 2014 using a combination of LiDAR (a remote sensing method that estimates the height of various objects across a landscape) and satellite imagery. Because LiDAR data is expensive to obtain, the tree canopy map cannot be updated frequently.
For this project, students will use the 2014 data and results to train an algorithm that can then perform with current satellite imagery but without LiDAR data.
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Supported query Formats: JSON
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Supports Shared Templates: True
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Units: esriMeters
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