MO4.P1: Improved Characterization and Understanding of Wildfires and their Environmental Impacts using Satellite Data and Artificial Intelligence II
Monday, 4 August, 15:45 - 17:00
Location: Room P1
Session Type: Oral
Track: Community-Contributed Sessions
Mon, 4 Aug, 15:45 - 16:00

MO4.P1.1: A TWO-LAYER CANOPY REFLECTANCE MODEL FOR ESTIMATING LIVE FUEL MOISTURE CONTENT
Jingyu Zhang, Rui Jiang, Xingwen Quan, University of Electronic Science and Technology of China, China
Mon, 4 Aug, 16:00 - 16:15

MO4.P1.2: FOREST WILDFIRE DETECTION BASED ON GEO-KOMPSAT-2A REMOTE SENSING IMAGERY DATA AND FUEL MOISTURE CONTENT
Jingyu Zhang, Rui Jiang, University of Electronic Science and Technology of China, China
Mon, 4 Aug, 16:15 - 16:30

MO4.P1.3: PRE- AND POST-FIRE AIRBORNE LIDAR TO QUANTIFY CANOPY AND GROUND BIOMASS COMBUSTION FOLLOWING FIRE IN A PERMAFROST-PEATLAND COMPLEX
Laura Chasmer, Linda Flade, Emily Jones, Kailyn Nelson, University of Lethbridge, Canada; William Quinton, Wilfrid Laurier University, Canada; Chris Hopkinson, University of Lethbridge, Canada
Mon, 4 Aug, 16:30 - 16:45

MO4.P1.4: MITIGATING UNDERESTIMATION OF FIRE EMISSIONS FROM THE ADVANCED HIMAWARI IMAGER: A MACHINE LEARNING AND MULTI-SATELLITE ENSEMBLE APPROACH
Yoojin Kang, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)
Mon, 4 Aug, 16:45 - 17:00

MO4.P1.5: LIVE FUEL MOISTURE CONTENT FORECASTING BY INTEGRATING REMOTE SENSING AND WEATHER DATA
Qinglong Jia, Xingwen Quan, University of Electronic Science and Technology of China, China