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Abstract: Identifying global dairy and beef cattle operations by combining disparate datasets with AI and remote sensing to improve GHG emissions estimates and monitoring. (AGU25)

Identifying global dairy and beef cattle operations by combining disparate datasets with AI and remote sensing to improve GHG emissions estimates and monitoring.

Dr. Aaron Davitt1,2, Edward Boyda3, Paul Tulloch4, Derek Tesser5, Ashutosh Pawar5, Joey Jilek5, Andrew Tulloch6, Vasit Sagan7, Lekha Sridhar1 and Lauren Betz8, (1)WattTime, Oakland, United States, (2)Climate TRACE, Denver, United States, (3)The Earth Genome, Los Altos, United States, (4)Stanford University, Stanford, United States, (5)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environmental and Geospatial Science, St. Louis, United States, (6)Carleton University Ottawa, Ottawa, Canada, (7)Saint Louis University, Saint Louis, United States, (8)Climate TRACE, Salt Lake City, United States
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