TU2.P2.3
High Spatial Resolution Soil Moisture Mapping Using L-band Cross Correlating Radiometer and Small Uncrewed Aerial Systems
Eryan Dai, Michael Marques, Benjamin Andre, Weather Stream, United States; Albin Gasiewski, University of Colorado Boulder, United States; Daniel Prendergast, Maciej Stachura, Jack Elston, Black Swift Technology LLC, United States; Michael Hurowitz, Weather Stream, United States
Session:
TU2.P2: RS for Soil Moisture: GNSS-R and Other Techniques Oral
Track:
Land Applications
Location:
Room P2
Presentation Time:
Tuesday, 5 August, 11:00 - 11:15
Presentation
Discussion
Resources
No resources available.
Session TU2.P2
TU2.P2.1: ENHANCED HIERARCHICAL VISION TRANSFORMER APPROACH FOR SOIL MOISTURE RETRIEVAL LEVERAGING CYGNSS DATA
Qingyun Yan, Shuanggen Jin, Yuhan Chen, Nanjing University of Information Science and Technology, China; Yan Jia, Nanjing University of Posts and Telecommunications, China; Weimin Huang, Memorial University of Newfoundland, Canada
TU2.P2.2: INTEGRATION OF GNSS-R DERIVED SOIL MOISTURE INTO THE USGS WILDLAND FIRE POTENTIAL INDEX
Kurtis Nelson, United States Geological Survey, United States; Sreeja Roy-Singh, Vinay Ravindra, Bay Area Environmental Research Institute, United States; Mahta Moghaddam, Archana Kannan, Amer Melebari, University of Southern California, United States
TU2.P2.3: High Spatial Resolution Soil Moisture Mapping Using L-band Cross Correlating Radiometer and Small Uncrewed Aerial Systems
Eryan Dai, Michael Marques, Benjamin Andre, Weather Stream, United States; Albin Gasiewski, University of Colorado Boulder, United States; Daniel Prendergast, Maciej Stachura, Jack Elston, Black Swift Technology LLC, United States; Michael Hurowitz, Weather Stream, United States
TU2.P2.3: ROOT ZONE SOIL MOISTURE SPATIAL RESOLUTION ENHANCEMENT WITH ACTIVE P- AND L-BAND DATA
Luisa F. White-Murillo, Jeffrey P. Walker, Nan Ye, Monash University, Australia; James Hills, University of Tasmania, Australia; Lixiaozhou Zhou, Ziwei Xiong, Xiaoling Wu, Liujun Zhu, Monash University, Australia; Brian Ng, The University of Adelaide, Australia; Mahta Moghaddam, University of Southern California, United States; Simon Yueh, Jet Propulsion Laboratory, United States
TU2.P2.5: LATENT SPACE GENERATIVE DATA ASSIMILATION FOR ROBUST SOIL MOISTURE ESTIMATION USING MULTIMODAL REMOTE SENSING
Changjiang Shi, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Zhijie Zhang, Utah State University, United States; Wanchang Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, United States; Yaning Yi, Huiran Gao, National Institute of Natural Hazards, Ministry of Emergency Management of China, United States
Resources
No resources available.