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Abstract: Improving Wildfire AI with Radiometric Thermal UAV Data: An Introduction to the FLAME 3 Dataset (AGU25)

Improving Wildfire AI with Radiometric Thermal UAV Data: An Introduction to the FLAME 3 Dataset

Mobin Habibpour1, Bryce Hopkins2, Christopher Oneil3, Eric Rowell4, Russell Parsons5, Carl Seielstad6, Michael Marinaccio2, Sarah Flanary7, Irtija Nazim2, Fatemeh Afghah8, Mayamin Hamid Raha9, Alireza Tavakkoli10 and Janice Coen11, (1)Clemson University, computer engineering, Clemson, SC, United States, (2)Clemson university, Clemson, United States, (3)US Forest Service Pacific Southwest Research Station, Redding, United States, (4)California Environmental Protection Agency Air Resources Board, Sacramento, United States, (5)US Forest Service Missoula, Missoula, United States, (6)University of Montana, National Center for Landscape Fire Analysis, Missoula, United States, (7)US Forest Service, Rocky Mountain Research Station, Missoula, United States, (8)Clemson University, Clemson, United States, (9)University of Nevada Reno, computer science and engineering, Reno, United States, (10)University of Nevada Reno, Computer Science and Engineering, Reno, United States, (11)National Center for Atmospheric Research, Boulder, United States
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