TH2.R12.1: ESTIMATION OF DAILY MEAN, MAXIMUM, AND MINIMUM LAND SURFACE TEMPERATURES FROM MODIS DATA USING MACHINE LEARNING
Qiang Na, 1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China 2University of Chinese Academy of Sciences, Beijing 100049, China, China; Hua Li, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China, China; Biao Cao, Innovation Research Center of Satellite Application, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China, China; Zunjian Bian, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China, China; Yongming Du, Qinhuo Liu, 1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China 2University of Chinese Academy of Sciences, Beijing 100049, China, China
TH2.R12.2: EVALUATING FEATURE IMPACT ON OCEAN WIND SPEED PREDICTIONS: AN APPLICATION OF EXPLAINABLE AI TO GNSS REFLECTOMETRY DATA
Tianqi Xiao, Milad Asgarimehr, German Research Centre for Geosciences, Germany; Caroline Arnold, German Climate Computing Center, Germany; Daixin Zhao, Lichao Mou, Technische Universität München, Germany; Jens Wickert, German Research Centre for Geosciences, Germany
TH2.R12.3: PREDICTING SNOW WATER EQUIVALENT IN THE TUOLUMNE RIVER BASIN, CA THROUGH TIME SERIES FORECASTING USING DEEP-LEARNING
Nicholas Pinder, University of South Florida, United States; Alicia Joseph, NASA Goddard Space Flight Center, United States; Gabriela Himmele, West Virginia University, United States; Evi Ofekeze, Boise State University, United States; Aditya Jain, The Harker School, United States; Kari Espada, Virginia Space Grant Consortium, United States; Carrie Vuyovich, NASA Goddard Space Flight Center, United States
TH2.R12.4: DIMENSIONALITY REDUCTION FOR VISUALIZATION OF HYDROGEOPHYSICAL AND METEOROLOGICAL RECORDINGS ON A LANDSLIDE ZONE
Apostolos Parasyris, Lina Stankovic, Vladimir Stankovic, UNIVERSITY OF STRATHCLYDE, United Kingdom
TH2.R12.5: USING UNSUPERVISED MACHINE LEARNING METHODS AND THE NASA SNOWEX SWESARR INSTRUMENT TO STUDY HOW SNOW WATER EQUIVALENT IS CHANGING WITH CLIMATE CHANGE
Gabriela Himmele, West Virginia University, United States; Alicia Joseph, NASA Goddard, United States; Evi Ofekeze, Boise State University, United States; Nicholas Pinder, University of South Florida, United States; Aditya Jain, The Harker School, United States; Carrie Vuyovich, NASA Goddard, United States; Kari Espada, NASA Space Grant, United States
TH2.R12.6: INTEGRATING EARLY CAREER STEM RESEARCH THROUGH MACHINE LEARNING BY THE NASA CLIMATE CHANGE RESEARCH INITIATIVE (CCRI)
Alicia Joseph, NASA GSFC, United States; Gabriela Himmele, West Virginia University, United States; Matthew Pearce, NASA Goddard Institute of Space Studies, United States; Nicholas Pinder, University of South Florida, United States; Aditya Jain, The Harcker School, United States
TH2.R12.7: UTILIZING MACHINE LEARNING AND ANOMALY DETECTION TO DETECT SKEWED SWESARR DATA AND UNDERSTAND HOW SNOW WATER EQUIVALENT CHANGES SPATIALLY
Aditya Jain, The Harker School, United States; Alicia Joseph, NASA GSFC, United States; Gabriela Himmele, West Virginia University, United States; Nicholas Pinder, University of South Florida, United States; Evi Ofekeze, Boise State University, United States; Carrie Vuyovich, NASA GSFC, United States; Kari Espada, Virginia Space Grant Consortium, United States; Joy Conway, Plum Point Middle School, United States; Ryan Miller, Arlington Tech Arlington Public Schools, United States
