WE1.P2.2
Collocated Analysis of SMAP Radar Signatures with Surface Topography and Vegetation Water Content for Soil Moisture Retrieval Improvement
Huanting Huang, Xiaolan Xu, Simon Yueh, Jet Propulsion Laboratory, California Institute of Technology, United States
Session:
WE1.P2: Earth System Science and Applications Based on a Decade of NASA Soil Moisture Active Passive (SMAP) Satellite Mission Science Data Products II Oral
Track:
Community-Contributed Sessions
Location:
Room P2
Presentation Time:
Wednesday, 6 August, 08:15 - 08:30
Presentation
Discussion
Resources
No resources available.
Session WE1.P2
WE1.P2.1: ENHANCING SOIL MOISTURE RETRIEVAL USING LONG-TERM PALSAR DATA AND SMAP PRODUCTS: INSIGHTS FROM DIVERSE CORE VALIDATION SITES
Xiaolan Xu, Simon Yueh, Huanting Huang, Tianlin Wang, Jet Propulsion Lab, United States
WE1.P2.2: Collocated Analysis of SMAP Radar Signatures with Surface Topography and Vegetation Water Content for Soil Moisture Retrieval Improvement
Huanting Huang, Xiaolan Xu, Simon Yueh, Jet Propulsion Laboratory, California Institute of Technology, United States
WE1.P2.3: ASCAT2SMAP-V2: An Image-to-Image Translation from C-band Soil Moisture to L-band Soil Moisture to Simultaneously Retrieve Soil Moisture and Vegetation Optical Depth
Jaese Lee, Ulsan National Institute of Science and Technology (UNIST), Korea (South); Andreas Colliander, Jet Propulsion Laboratory, California Institute of Technology, United States; Jungho Im, Ulsan National Institute of Science and Technology (UNIST), Korea (South)
WE1.P2.5: An integrated learning framework for seamless high-resolution soil moisture estimation
Yinghong Jing, Yao Li, Southwest University, Chongqing, China, China; Xinghua Li, Liupeng Lin, Wuhan University, Wuhan, China, China; Xiaojun She, Southwest University, Chongqing, China, China; Menghui Jiang, Huanfeng Shen, Wuhan University, Wuhan, China, China
Resources
No resources available.