FRP2.PO.7
A MACHINE LEARNING-BASED STUDY ON WILDFIRE RISK ASSESSMENT IN PAKISTAN
Xue Hou, Hongguo Zhang, Binbin He, University of Electronic Science and Technology of China, China
Session:
FRP2.PO: Improved Characterization and Understanding of Wildfires and their Environmental Impacts using Satellite Data and Artificial Intelligence III Poster
Track:
Community-Contributed Sessions
Location:
Plaza Ballroom: Poster Area O
Presentation Time:
Friday, 8 August, 14:30 - 15:45
Session Co-Chairs:
Jungho Im, Ulsan National Institute of Science & Technology and Valerio Pampanoni, Sapienza University
Session FRP2.PO
FRP2.PO.1: VALIDATION OF HIMAWARI-8 10-MINUTE WILDFIRE PRODUCTS: COMPARED WITH POLAR-ORBITING SATELLITES IN LONG TIME SERIES
Zifeng Liu, Qiang Zhang, Qi Wang, Yaming Zheng, Dalian Maritime University, China
FRP2.PO.2: DOWNSCALE GOES MEASUREMENTS FOR FIRE DETECTION
Luke Taulbee, Yifan Yang, Haonan Chen, Colorado State University, United States; Changyong Cao, Center for Satellite Applications and Research, United States; Zhengwei Yang, National Agricultural Statistics Service, United States; Qi Chen, University of Hawai‘i at Manoa, United States; Zhe Li, Rick Mueller, National Agricultural Statistics Service, United States; Noa Lincoln, University of Hawai‘i at Manoa, United States
FRP2.PO.3: FOREST FIRE INTENSITY ANALYSIS USING SUPER-RESOLUTION SWIR GENERATED SENTINEL-2 AND PLANETSCOPE
Byeongcheol Kim, Seonyoung Park, Youkyung Han, Seoul National University of Science and Technology, Korea (South)
FRP2.PO.4: ASSESSING POST-FIRE SOIL CARBON LOSS IN THE BOREAL-ARCTIC REGION USING MULTI-SOURCE REMOTE SENSING DATA
Wei Peng, Yonghong Yi, Tongji University, China
FRP2.PO.5: ENHANCED MAPPING OF WILDFIRE-BURNED AREAS USING GNSS-REFLECTOMETRY RAW INTERMEDIATE FREQUENCY DATA
Archana Kannan, Amer Melebari, University of Southern California, United States; Grigorios Tsagkatakis, Foundation for Research and Technology-Hellas (FORTH), Greece; Angel Farguell, San Jose State University, United States; Kurtis Nelson, EROS Center at United States Geological Survey, United States; Adam Kochanski, San Jose State University, United States; Vinay Ravindra, Sreeja Nag, Bay Area Environmental Research Institute at NASA Ames Research Centre, United States; Chris Ruf, University of Michigan, United States; Mahta Moghaddam, University of Southern California, United States
FRP2.PO.6: Reconstructing Savannah Wildfires: A Deep Learning Framework for Satellite Data Fusion
Simon Ramsey, Karin Reinke, Simon Jones, RMIT University, Australia
FRP2.PO.7: A MACHINE LEARNING-BASED STUDY ON WILDFIRE RISK ASSESSMENT IN PAKISTAN
Xue Hou, Hongguo Zhang, Binbin He, University of Electronic Science and Technology of China, China
FRP2.PO.8: WILDFIRES CLASSIFICATION IN CANADIAN BOREAL FOREST: A COMPARATIVE STUDY OF LOGISTIC REGRESSION AND XGBOOST MODELS
Brandon Tran, Elijah James Duran, Mike Luu, Hesham Morgan, Surendra Maharjan, Wenzhao Li, Hesham El-Askary, Chapman University, United States
FRP2.PO.9: THE FIRE DETECTION CAPABILITIES OF METEOSAT THIRD GENERATION: A COMPARISON WITH METEOSAT SECOND GENERATION USING EARLY OPERATIONAL DATA
Valerio Pampanoni, Giovanni Laneve, Simone Saquella, Alvise Ferrari, Sapienza University, Italy
FRP2.PO.10: INTEGRATING LONG SHORT-TERM MEMORY NETWORKS AND MACHINE LEARNING MODELS FOR IMPROVING EXPLAINABLE WILDFIRE SUSCEPTIBILITY ASSESSMENT
Yuxiang Yan, Rui Chen, Yiru Zhang, Hongguo Zhang, Yuan Cai, Binbin He, University of Electronic Science and Technology of China, China
FRP2.PO.11: LIVE FUEL MOISTURE CONTENT ESTIMATION FROM HIMAWARI-8 DATA AND SCOPE MODEL INVERSION
Jixuan Jiang, Jingyu Zhang, Qinglong Jia, Xingwen Quan, University of Electronic Science and Technology of China, China
Resources