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: Mapping Tree Mortality and Burn Severity Using Deep Learning: A Case Study on the 2020 Creek Fire (AGU25)

Mapping Tree Mortality and Burn Severity Using Deep Learning: A Case Study on the 2020 Creek Fire

Pratima K C, NASA Ames Research Center, Moffett Field, CA, United States, Liz Van Wagtendonk, Seattle, Washington, United States and Van R Kane, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, United States
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