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Abstract: Enhancing VIIRS Fire Detection Accuracy: Differentiating Static Heat Sources from Vegetation Fires Using Persistence, Proximity, and Machine Learning (AGU25)

Enhancing VIIRS Fire Detection Accuracy: Differentiating Static Heat Sources from Vegetation Fires Using Persistence, Proximity, and Machine Learning

Bryan Hernandez1, Yang Chen2, Rebecca Scholten2, Wilfrid Schroeder3, Shane Coffield4,5, Douglas C Morton5 and James Tremper Randerson2, (1)University of California Irvine, Earth System Science, Irvine, CA, United States, (2)University of California Irvine, Earth System Science, Irvine, United States, (3)NOAA, NESDIS Office of Satellite and Product Operations, College Park, MD, United States, (4)University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, (5)NASA Goddard Space Flight Center, Greenbelt, United States