Urban Tree Species Classification Using Aerial Imagery

Waters, Emily, Oghaz, Mahdi Maktabdar, Saheer, Lakshmi Babu

arXiv.org Artificial Intelligence 

To leverage this potential, effective forest and consumption, improve urban air quality, reduce urban tree management is essential. This requires detailed wind speeds, and mitigating the urban heat information about tree species, composition, health and geographical island effect. Urban trees also play a key role in location of each tree in order to create a long term climate change mitigation and global warming by sustainable plan for plantation and forestation sites, pruning capturing and storing atmospheric carbon-dioxide schedules and mitigation of potential problems (Baeten & which is the largest contributor to greenhouse Bruelheide, 2018). It also helps to monitor tree species diversity gases. Automated tree detection and species classification and track health and growth rate to creates a more using aerial imagery can be a powerful robust ecosystem with better productivity and greater resilience tool for sustainable forest and urban tree management.