MO3.P1: Improved Characterization and Understanding of Wildfires and their Environmental Impacts using Satellite Data and Artificial Intelligence I
Monday, 4 August, 13:00 - 14:15
Location: Room P1
Session Type: Oral
Track: Community-Contributed Sessions
Mon, 4 Aug, 13:00 - 13:15

MO3.P1.1: Influence of Vegetation Biophysical Properties and Plant Functional Type Composition on Wildfire Behaviors
Somnath Bar, Tirtha Banerjee, University of California-Irvine, United States
Mon, 4 Aug, 13:15 - 13:30

MO3.P1.2: Assessment of satellite overpass timing for detection of new unplanned fires
Nicholas Wilson, Australian National University, Australia; Mark de Jong, Canadian Forest Service, Canada; Marta Yebra, Australian National University, Australia
Mon, 4 Aug, 13:30 - 13:45

MO3.P1.3: Identifying Key Environmental Predictors of Fire Radiative Power (FRP) Using Multi-Sensor Earth Observation Data
Iqra Munir, Karin J. Reinke, Simon D. Jones, Mariela Soto-Berelov, Royal Melbourne Institute of Technology, Australia
Mon, 4 Aug, 13:45 - 14:00

MO3.P1.4: ENHANCING SATELLITE-BASED WILDFIRE MONITORING: ADVANCED CONTEXTUAL MODEL USING ENVIRONMENTAL AND STRUCTURAL INFORMATION
Taejun Sung, Yoojin Kang, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)
Mon, 4 Aug, 14:00 - 14:15

MO3.P1.5: LEVERAGING ADABOOST AND BAYESIAN OPTIMIZATION TO ENHANCE DECISION TREE MODELS FOR WILDFIRE PREDICTION
Rui Jiang, Jingyu Zhang, University of Electronic Science and Technology of China, China