TU1.R6.4
Rapid Forest Fuel Load Estimation via Virtual Remote Sensing and Metric-Scale Feed-Forward 3D Reconstruction
Quanyun Wu, Kyle Gao, Wentao Sun, University of Waterloo; zhengsen Xun, University of Calgary; Hudson Sun, University of Waterloo; linlin Xu, University of Calgary; Yuhao Chen, David A. Cluasi, Jonathan Li, University of Waterloo
Session:
TU1.R6: Advances in GeoAI systems for Wildfire Monitoring Oral
Track:
Community Contributed Themes
Location:
Cardozo
Presentation Time:
Tuesday, 11 August, 09:15 - 09:30
Session Co-Chairs:
Kyle Gao, University of Waterloo, Karlsruhe Institute of Technology and Hudson Sun, University of Waterloo
Presentation
Discussion
Resources
No resources available.
Session TU1.R6
TU1.R6.1: LABEL-FREE FOREST–URBAN SEGMENTATION USING ALPHAEARTH FOUNDATIONS
Hudson Sun, Kyle Gao, Quanyun Wu, Niloofar Azad, Junfeng Lei, University of Waterloo; Lincoln Linlin Xu, University of Calgary; David A. Clausi, University of Waterloo
TU1.R6.2: RIDGE-LINE CONSTRAINED WILDFIRE SMOKE DETECTION FOR MOUNTAINOUS POWER-CORRIDOR SURVEILLANCE
Yiming Chen, Jiaxin Mao, Xiaole Ye, Shiyao Su, Siying Li, Fengming Hu, Fudan University
TU1.R6.3: ON-ORBIT FIRE DETECTION: FIRST RESULTS FROM ORORATECH CONSTELLATION PHASE-1
Jayendra Praveen Kumar Chorapalli, Matthias Roetzer, Martin Ickerott, Fabian Schoettl, Julian Franquinet, Dimitri Scheftelowitsch, Veronika Poertge, Sai Manoj Appalla, Max Bereczky, Julia Gottfriedsen, Dmitry Raskovetsky, Ororatech GmbH
TU1.R6.4: Rapid Forest Fuel Load Estimation via Virtual Remote Sensing and Metric-Scale Feed-Forward 3D Reconstruction
Quanyun Wu, Kyle Gao, Wentao Sun, University of Waterloo; zhengsen Xun, University of Calgary; Hudson Sun, University of Waterloo; linlin Xu, University of Calgary; Yuhao Chen, David A. Cluasi, Jonathan Li, University of Waterloo
TU1.R6.5: A PHENOLOGY-SYNCHRONIZED FRAMEWORK FOR EXTENDED BURN SEVERITY ASSESSMENT USING HARMONIZED LANDSAT SENTINEL-2 DATA
Qingqu Luo, Fugui Luo, Yiru Zhang, Rui Chen, Chunquan Fan, Binbin He, University of Electronic Science and Technology of China
Resources
No resources available.