TUP2.PU.4
AN INTEGRATING PHYSICAL WITH CONVOLUTIONAL NEURAL NETWORKS FOR ENHANCING SOIL MOISTURE RETRIEVAL
Xiangjin Meng, Qing Zhu, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, China; Yingbao Yang, Hohai University, Germany
Session:
TUP2.PU: Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products I Poster
Track:
Community-Contributed Sessions
Location:
Plaza Ballroom: Poster Area U
Presentation Time:
Tuesday, 5 August, 14:30 - 15:45
Session Chair:
Narendra Das, Michigan State University
Session TUP2.PU
TUP2.PU.1: Assessing Drought Conditions in Australia: An Analysis Using Satellite Indices
Yuei-An Liou, Minh-Tin Thai, National Central University, Taiwan
TUP2.PU.2: Understanding soil moisture distribution in Mongolia based on field measurement and satellite data
Nozomu Hirose, National Institute of Technology, Matsue College, Japan; Kentaro Aida, JAXA, Japan
TUP2.PU.3: LONG-TERM GLOBAL SOIL MOISTURE DATASET THROUGH PHYSICS-DRIVEN MACHINE LEARNING USING SMAP, AMSR, MWRI/FY-3 AND SSMI
Panpan Yao, North China University of Water Resources and Electric Power, China; Tianjie Zhao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Hui Lu, Department of Earth System Science,Tsinghua University, China; Zhiqing Peng, Department of Earth System Science, Tsinghua University, China; Shengli Wu, National Satellite Meteorological Center, China Meteorological Administration, China; Haojie Zhang, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China; Jiancheng Shi, National Space Science Center, Chinese Academy of Sciences, China
TUP2.PU.4: AN INTEGRATING PHYSICAL WITH CONVOLUTIONAL NEURAL NETWORKS FOR ENHANCING SOIL MOISTURE RETRIEVAL
Xiangjin Meng, Qing Zhu, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, China; Yingbao Yang, Hohai University, Germany
Resources