The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: Quantifying the Air Pollution Mitigation Function of Urban Forests: Evaluating NO₂ Impacts via Machine Learning-Based Integration of Satellite and Ground Observations (AGU25)

Quantifying the Air Pollution Mitigation Function of Urban Forests: Evaluating NO₂ Impacts via Machine Learning-Based Integration of Satellite and Ground Observations

Hong-Duck Sou1, Dong Yeong Chang2, Yoori Cho2, Jaeeun Woo2, Yoonji Hahn2, Chaewan Kim1, Jinsuk Jeong1, Sumin Choi1 and Chan-Ryul Park1, (1)National Institute of Forest Science, Livable Urban Forests Research Center, Seoul, South Korea, (2)Seoul National University, Department of Environmental Planning, Seoul, South Korea
<< Previous Abstract | Next Abstract >>