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.


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Abstract: Urban-Trained, Forest-Ready: A Source-Mix Domain-Adaptation Pipeline for Large-Scale Forest Point Cloud Segmentation (AGU25)

Urban-Trained, Forest-Ready: A Source-Mix Domain-Adaptation Pipeline for Large-Scale Forest Point Cloud Segmentation

Fei Zhang1, Robert Ormal Chancia2, Amirhossein Hassanzadeh3 and Jan van Aardt3, (1)Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, United States, (2)Rochester Institute of Technology, Imaging Science, Rochester, NY, United States, (3)Rochester Institute of Technology, Imaging Science, Rochester, United States
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