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.


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Abstract: A Deep Learning-based Method for High-precision Tree Species Classification and Stand Boundary Extraction (AGU25)

A Deep Learning-based Method for High-precision Tree Species Classification and Stand Boundary Extraction

Jianwen Huang1, Yong Pang2, Pumei Lang3 and Xuefeng Wang1, (1)Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijjing, China, (2)Chinese Academy of Forestry, Beijing, China, (3)Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China