TH4.R6.1
Active Fire Detection from FireSat0 Multispectral Thermal Imagery
Kat Jensen, Kyle Story, Chris Melancon, Tim Dittmann, Caleb Spradlin, Cathy Olkin, Muon Space, United States
Session:
TH4.R6: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery (1/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 16:15 - 16:30
Presentation
Discussion
Resources
No resources available.
Session TH4.R6
TH4.R6.1: Active Fire Detection from FireSat0 Multispectral Thermal Imagery
Kat Jensen, Kyle Story, Chris Melancon, Tim Dittmann, Caleb Spradlin, Cathy Olkin, Muon Space, United States
TH4.R6.2: Wildfire Risk Prediction in Southeastern Xizang, China Using an Attention-Based BiLSTM-XGBoost Hybrid Model
Xuehui Hou, University of Electronic Science and Technology of China, China; Donyu Dorjee, Pema Yangzom, Kelsang Tenzen, Xizang Autonomous Region Climatic Center, China; Binbin He, Yuwei Guan, University of Electronic Science and Technology of China, China
TH4.R6.3: AN ANALYSIS OF POST-FIRE ACTIVE REFORESTATION USING SENTINEL-2
Miriam Bakija, Bailey Kacsmar, Irene Cheng, University of Alberta, Canada
TH4.R6.4: POST-FIRE SURFACE ASSESSMENT WITH IMAGING SPECTROSCOPY AND THE SPECTRAL MIXTURE RESIDUAL
Megan Ward-Baranyay, Daniel Sousa, San Diego State University, United States
TH4.R6.5: The Winter Fire Paradox: Rapid Phenological Recovery Masks Invasive Dominance in Southern California Chaparral
Hatef Dastour, University of Missouri, United States
Contacts