FRPA.PA.84

COMBING WILDFIRE DANGER INDEX AND GEO-KOMPSAT-2A GEOSTATIONARY METEOROLOGICAL SATELLITE DATA FOR WILDFIRE DETECTION

Zihan Wang, Jianan Hou, Xiaojun Yi, University of Electronic Science and Technology of China, China
Session:
FRPA.PA: Wildfire Science, Response, and Technology: Challenges, Opportunities and Advances II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area 3: Trianti Foyer Left
Presentation Time:
Fri, 12 Jul, 10:40 - 11:40
Session Co-Chairs:
Diofantos Hadjimitsis, Technical University of Cyprus and Shanna McClain, NASA Headquarters
Presentation
Discussion
Resources
No resources available.
Session FRPA.PA
FRPA.PA.84: COMBING WILDFIRE DANGER INDEX AND GEO-KOMPSAT-2A GEOSTATIONARY METEOROLOGICAL SATELLITE DATA FOR WILDFIRE DETECTION
Zihan Wang, Jianan Hou, Xiaojun Yi, University of Electronic Science and Technology of China, China
FRPA.PA.85: COMPARING THE PERFORMANCE OF HIMAWARI-8 SATELLITE AND GEO-KOMPSAT 2A SATELLITE IN ACTIVE WILDFIRE DETECTION OVER EASTERN AUSTRALIA
Xiaojun Yi, Zihan Wang, Jianan Hou, University of Electronic Science and Technology of China, China
FRPA.PA.86: FOREST EARLY WILDFIRE DETECTION VIA MULTI-SOURCE AND MULTI-TYPE INFORMATION FUSION
Jian Zhu, Qiang Zhang, Yaming Zheng, Dalian Maritime University, China
FRPA.PA.87: MULTI-SENSOR APPROACH TO ASSESSING THE WILDFIRE SEVERITY-INDUCED LANDSLIDE RISK: A CASE OF ISCHIA ISLAND, ITALY
Hanieh Dadkhah, Divyeshkumar Rana, Dr. Ebrahim Ghaderpour, Matteo Ferrarotti, Prof. Paolo Mazzanti, Sapienza University of Rome, Italy
FRPA.PA.88: ESTIMATION OF DOWNED WOODY TIME-LAG FUEL LOADINGS WITH MULTIMODAL REMOTE SENSING DATA AND ENSEMBLE MACHINE LEARNING REGRESSION MODEL
Riyaaz Shaik, University of California Los Angeles, United States; Mohamad Alipour, University of Illinois Urbana-Champaign, United States; Eric Rowell, Desert Research Institute, United States; Bharathan Balaji, Amazon, United States; Adam Watts, Pacific Northwest Research Station, United States; Ertugrul Taciroglu, University of California Los Angeles, United States
FRPA.PA.89: UNDERSTANDING OF GLOBAL WILDFIRES THROUGH SATELLITE-BASED FIRE RADIATIVE POWER ANALYSIS
Yoojin Kang, Jaese Lee, Jungho Im, Ulsan National Institute of Science & Technology, Korea (South)
FRPA.PA.90: WILDFIRE DETECTION BASED ON MACHINE LEARNING WITH HIMAWARI-8
Hongjie Cao, Maosheng Lin, Zezhong Zheng, University of Electronic Science and Technology of China, China; Guoqing Zhou, Guilin University of Technology, China; Yi Ma, Fangrong Zhou, Guofang Wang, Yunnan Power Grid Company Ltd, China; Qiang Liu, Yiming Chen, University of Electronic Science and Technology of China, China
Resources
No resources available.