TH4.R1.5
AEROSOL OPTICAL DEPTH RETRIEVAL FROM GEOSTATIONARY ENVIRONMENT MONITORING SPECTROMETER (GEMS): ADVANCING THE FIRST HYPERSPECTRAL GEOSTATIONARY AIR QUALITY MISSION USING DEEP LEARNING
Hyunyoung Choi, Jungho Im, Ulsan National Institute of Science & Technology, Korea (South)
Session:
TH4.R1: Remote sensing of atmospheric composition and air quality: Session I Oral
Track:
Atmosphere Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 17:15 - 17:30
Presentation
Discussion
Resources
No resources available.
Session TH4.R1
TH4.R1.1: EXPANDING GEOSTATIONARY ATMOSPHERIC COMPOSITION SATELLITE CONSTELLATION: TOWARDS GLOBAL COVERAGE
Ali Omar, NASA, United States
TH4.R1.2: TEMPO-ABI Aerosol Product Imagery: A New Resource for Air Quality Stakeholders
Amy Huff, Pubu Ciren, Hai Zhang, Zigang Wei, STC at NOAA/NESDIS/STAR, United States; Shobha Kondragunta, NOAA/NESDIS/STAR, United States
TH4.R1.3: Aerosol Optical Depth retrieval from METSG/METImage measurements using PACE/OCI as proxy
Yongxiao Jian, Earth Resource Technology Inc, United States; Hongqing Liu, Science & Technology Corp., United States; Istvan Laszlo, University of Maryland, United States; Shobha Kondragunta, National Oceanic and Atmospheric Administration, United States
TH4.R1.4: RETRIEVAL OF DUST PARTICLE INFORMATION BY USING THERMAL IR CHANNELS OF GK-2A SATELLITE
Sang Seo Park, Ehsan Parsa Javid, Ulsan National Institute of Science and Technology, Korea (South)
TH4.R1.5: AEROSOL OPTICAL DEPTH RETRIEVAL FROM GEOSTATIONARY ENVIRONMENT MONITORING SPECTROMETER (GEMS): ADVANCING THE FIRST HYPERSPECTRAL GEOSTATIONARY AIR QUALITY MISSION USING DEEP LEARNING
Hyunyoung Choi, Jungho Im, Ulsan National Institute of Science & Technology, Korea (South)
Contacts