2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

WE2.R1.7

SOIL MOISTURE RETRIEVAL ONLY USING SMAP L-BAND RADAR OBSERVATIONS

Panpan Yao, Hui Lu, Wenli Wang, Changkun Shao, Kun Yang, Tsinghua University, China; Daniel Gianotti, Massachusetts Institute of Technology, United States; Zhuang Liu, Xiaomeng Huang, Tsinghua University, China; Dara Entekhabi, Massachusetts Institute of Technology, United States
Session:
Soil Moisture Related Applications
Track:
Land Applications
Presentation Time:
Wed, 30 Sep, 15:30-15:40 (UTC)
Wed, 30 Sep, 23:30-23:40 China Standard Time (UTC +8)
Wed, 30 Sep, 17:30-17:40 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 08:30-08:40 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Ruzbeh Akbar, Massachusetts Institute of Technology and Howard Zebker, Stanford University
Session Managers:
Thiago Borba Onofre and Natalia Indira Vargas Cuentas

Presentation

Discussion

Resources

Session

WE2.R1.1: SENSITIVITY OF CYGNSS-DERIVED SOIL MOISTURE TO GLOBAL PRECIPITATION
Qingyun Yan, Shuanggen Jin, Nanjing University of Information Science and Technology, China; Weimin Huang, Memorial University of Newfoundland, Canada; Yan Jia, Nanjing University of Posts and Telecommunications, Canada
WE2.R1.2: SOIL MOISTURE MAPPING WITH POLARIMETRIC SAR IN HUANGHE DELTA OF CHINA
Lihua Lan, Key Laboratory of Target Microwave Properties and Remote Sensing of Zhejiang Province, China; Tingting Zhang, Yun Shao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Zhengshan Ju, Ministry of Natural Resources, China; Xun Chai, Urban-Rural Planning Administration Center of Ministry of Natural Resources, China
WE2.R1.3: IDENTIFYING TERRESTRIAL VEGETATION-SOIL MOISTURE OSCILLATION FROM SATELLITE OBSERVATIONS
Qing He, Siyu Yue, Hui Lu, Zhuang Liu, Xiaomeng Huang, Tsinghua University, China; Dara Entekhabi, Massachusetts Institute of Technology, United States
WE2.R1.4: IMPROVING SOIL MOISTURE SPATIO-TEMPORAL RESOLUTION USING MACHINE LEARNING METHOD
Yaokui Cui, Xi Chen, Zengliang Luo, Institute of RS and GIS, School of Earth and Space Sciences, Peking University, China
WE2.R1.5: OPTIMIZATION OF MODEL PARAMETERS FOR SM ESTIMATION USING SENTINEL-1 DATA WITH EFFICIENT ANALYSIS OF WHEAT GROWTH CYCLE
Ajay Kumar Maurya, Dharmendra Singh, Indian Institute of Technology Roorkee, India
WE2.R1.6: OBSERVATION OF SOIL MOISTURE VERTICAL PROFILES FROM GNSS SIGNAL MULTI-PATH INTERFERENCES
Xiaoyu Ma, Zhizhan Tang, Shurun Tan, Zhejiang University, China
WE2.R1.7: SOIL MOISTURE RETRIEVAL ONLY USING SMAP L-BAND RADAR OBSERVATIONS
Panpan Yao, Hui Lu, Wenli Wang, Changkun Shao, Kun Yang, Tsinghua University, China; Daniel Gianotti, Massachusetts Institute of Technology, United States; Zhuang Liu, Xiaomeng Huang, Tsinghua University, China; Dara Entekhabi, Massachusetts Institute of Technology, United States
WE2.R1.8: ASSESSMENT OF SMAP AND ESA CCI SOIL MOISTURE OVER THE GREAT LAKES BASIN
Xiaoyong Xu, Brandon Shew, Shadia Zaman, Joseph Lee, Yun Zhi, University of Toronto Mississauga, Canada
WE2.R1.9: COMPARISON OF SMAP AND NLDAS-2 SOIL MOISTURE DATA SETS OVER THE SOUTHERN GREAT PLAINS
Bo Jiang, Institute of Geographical Sciences and Natural Resources Research, China; Hongbo Su, Florida Atlantic University, United States
WE2.R1.10: MACHINE LEARNING BASED SOIL MOISTURE RETRIEVAL FROM UNMANNED AIRCRAFT SYSTEM MULTISPECTRAL REMOTE SENSING
Samuel Araya, Stanford University, United States; Anna Fryjoff-Hung, Andreas Anderson, Joshua Viers, Teamrat Ghezzehei, University of California, Merced, United States
WE2.R1.11: MULTI-TEMPORAL CONVOLUTIONAL NEURAL NETWORKS FOR SATELLITE-DERIVED SOIL MOISTURE OBSERVATION ENHANCEMENT
Grigorios Tsagkatakis, Foundation for Research and Technology Hellas (FORTH), Greece; Mahta Moghaddam, University of Southern California, United States; Panagiotis Tsakalides, Foundation for Research and Technology Hellas (FORTH), Greece
WE2.R1.12: JOINT RETRIEVAL OF SOIL MOISTURE AND PERMAFROST ACTIVE LAYER THICKNESS USING L-BAND INSAR AND P-BAND POLSAR
Richard Chen, NASA Jet Propulsion Laboratory, United States; Roger Michaelides, Stanford University, United States; Taylor Sullivan, Andrew Parsekian, University of Wyoming, United States; Howard Zebker, Stanford University, United States; Mahta Moghaddam, University of Southern California, United States; Kevin Schaefer, National Snow and Ice Data Center, United States