FR1.R6.4
UTILIZING FEATURE EMBEDDINGS TO RECOGNIZE FIRE-PRONE REGION
Shailee Lad, Irene Cheng, University of Alberta, Canada
Session:
FR1.R6: Remote Sensing and Geospatial Modeling of Wildfire Risk, Detection, and Recovery (2/3) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Fri, 14 Aug, 09:15 - 09:30
Presentation
Discussion
Resources
No resources available.
Session FR1.R6
FR1.R6.1: A Coal Burnt Loss Model for Dynamic CO2 Emission Estimation: Coupling Fire Life-Cycle Assessment with Time-Series TIR Remote Sensing
Jinchang Deng, Yong Xue, Nanjing University of Information Science & Technology, China; Bobo Shi, China University of Mining and Technology, China
FR1.R6.2: A SPECTRAL-AWARE VIT-MAE APPROACH USING HIMAWARI-8 DATA: SMALL WILDFIRE DETECTION ON GEOSTATIONARY SATELLITES
Junbo Wang, Binbin He, Chunquan Fan, University of Electronic Science and Technology of China, China
FR1.R6.3: RADAR-BASED WILDFIRE ASH MONITORING USING VOLCANIC ASH TECHNIQUES
Angela Wang, Sean Peters, University of Colorado, Boulder, United States; Maria Frediani, National Center of Atmospheric Research, United States; David Kingsmill, University of Colorado, Boulder, United States
FR1.R6.4: UTILIZING FEATURE EMBEDDINGS TO RECOGNIZE FIRE-PRONE REGION
Shailee Lad, Irene Cheng, University of Alberta, Canada
FR1.R6.5: A UAV LiDAR–MS Multi‑Task Vision Transformer for Meter‑Scale Fuel Mapping in Belgium
Atefe Choopani, KU Leuven, Belgium; Alexander Wim Van Hout, PXL University College, Belgium; Dimitris Stavrakoudis, Aristotle University of Thessaloniki Thessaloniki, Greece; Ioannis Gitas, Aristotle University of Thessaloniki, Greece; Koenraad Van Meerbeek, KU Leuven, Belgium; Sam Ottoy, PXL University College, Belgium; Stef Lhermitte, KU Leuven, Belgium
Contacts