easz/urban-tree
detect urban trees with the help of aerial images
This project helps city planners and environmental managers identify changes in urban tree canopy over time by analyzing aerial images. It takes raw aerial photographs from different years as input and produces maps highlighting areas where trees have been lost or gained. Urban foresters, city planning departments, and environmental organizations concerned with green infrastructure would find this tool valuable for monitoring and managing urban tree populations.
No commits in the last 6 months.
Use this if you need to systematically track and visualize changes in tree cover across a city using readily available aerial imagery.
Not ideal if you require highly precise tree identification from low-resolution images or need detailed individual tree crown information beyond simple presence/absence.
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11
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 31, 2023
Commits (30d)
0
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