@inproceedings{609, author = {Yiqun Xie and Shashi Shekhar and Richard Feiock and Joseph Knight}, title = {Revolutionizing Tree Management via Intelligent Spatial Techniques}, abstract = {Tree management is becoming a big issue in a variety of societal domains. In recent years, historic wildfires and blackouts caused by failures in tree management have increased in both quantity and severity, resulting in many deaths and financial loses in the tens of billions of dollars. Many communities are also suffering from massive tree loss (e.g., in the millions) that affects the health and well-being of citizens. These problems are likely to worsen due to climate change, aging infrastructure and population growth. Tree management needs a revolution to deal with these urgent problems. This opens up new challenges and opportunities for the spatial community. This paper presents some of the open research problems from the perspectives of individual tree mapping and characterization as well as decision making and in-field intervention.}, year = {2019}, journal = {SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems}, chapter = {71}, pages = {4}, month = {11}, url = {https://par.nsf.gov/biblio/10184560}, doi = {10.1145/3347146.3359066}, }