FR4.R6.5

DEEP LEARNING-BASED SEA SURFACE TEMPERATURE FORECASTING INTEGRATING REAL-TIME SATELLITE OBSERVATION

Shota Fukuyama, Masaaki Iiyama, Shiga University, Japan
Session:
FR4.R6: AI4EO for Climate Variables Oral
Track:
AI and Big Data
Location:
Skalkotas Hall
Presentation Time:
Fri, 12 Jul, 18:16 - 18:30
Session Chair:
Roland Perko, JOANNEUM RESEARCH
Presentation
Discussion
Resources
No resources available.
Session FR4.R6
FR4.R6.1: ARTIFICIAL INTELLIGENCE FOR LAND USE AND LAND COVER MAPPING IN AUSTRIA
Sead Mustafic, Karlheinz Gutjahr, Petra Miletich, Roland Perko, JOANNEUM RESEARCH, Austria
FR4.R6.2: AVERAGING STRATEGY TO IMPROVE SAR-TO-NDVI ESTIMATIONS IN A REGION OF INTEREST
Mikel Zabala, Pietro Soglia, Paula Gonzalez, Izar Azpiroz, Mikel Maiza, Vicomtech Foundation, Spain; Sergio Salata, AVS Added Value Industrial Engineering Solutions, Spain
FR4.R6.3: TROPICAL CYCLONE INTENSITY ESTIMATION BASED ON SATELLITE MICROWAVE BRIGHTNESS TEMPERATURE DATA: UTILIZING THE MAA NETWORK AND DUALBRANCH NETWORK TRAINING METHOD
Wenjie Jiang, Huinan Zhang, Miao Tian, University of Electronic Science and Technology of China, China
FR4.R6.4: ENSEMBLE LEARNING-BASED SEA SURFACE TEMPERATURE ESTIMATION FROM THE HIMAWARI-9 SATELLITE
Kotaro Hayashi, Masaaki Iiyama, Shiga University, Japan
FR4.R6.5: DEEP LEARNING-BASED SEA SURFACE TEMPERATURE FORECASTING INTEGRATING REAL-TIME SATELLITE OBSERVATION
Shota Fukuyama, Masaaki Iiyama, Shiga University, Japan
FR4.R6.6: CloudUNet: Adapting UNet for Retrieving Cloud Properties
Zahid Hassan Tushar, Adeleke S. Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham, University of Maryland, Baltimore County, United States
Resources
No resources available.