TU4.R11.1

MACHINE LEARNING ANALYSIS OF CYGNSS DATA FOR CHLOROPHYLL CONCENTRATION MONITORING IN ALGAL BLOOMS

Yan Jia, Heng Yu, Quan Liu, Nanjing University of Posts and Telecommunications, China; Yan Lv, Nanjing University of Information Science and Technology, Nanjing 210044, China, China; Zhen Wu, Nanjing University of Posts and Telecommunications, China; Shuanggen Jin, School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China, China; Fabio Peinetti, Patrizia Savi, Politecnico di Torino, Italy
Session:
TU4.R11: GNSS-R Modeling: Physics-informed Machine-learning Retrieval Oral
Track:
Community-Contributed Sessions
Location:
MC 3.2
Presentation Time:
Tue, 9 Jul, 17:20 - 17:34
Session Co-Chairs:
Grigorios Tsagkatakis, Foundation for Research and Technology - Hellas, Greece and Chris Danezis, Cyprus University Of Technology
Presentation
Discussion
Resources
No resources available.
Session TU4.R11
TU4.R11.1: MACHINE LEARNING ANALYSIS OF CYGNSS DATA FOR CHLOROPHYLL CONCENTRATION MONITORING IN ALGAL BLOOMS
Yan Jia, Heng Yu, Quan Liu, Nanjing University of Posts and Telecommunications, China; Yan Lv, Nanjing University of Information Science and Technology, Nanjing 210044, China, China; Zhen Wu, Nanjing University of Posts and Telecommunications, China; Shuanggen Jin, School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China, China; Fabio Peinetti, Patrizia Savi, Politecnico di Torino, Italy
TU4.R11.2: RESIDUAL FULLY CONNECTED NETWORK FOR HIGH-PRECISION GNSS-R WIND SPEED RETRIEVAL AND ITS INTERPRETATION
Hao Du, Weiqiang Li, Estel Cardellach, Serni Ribó, Antonio Rius, ICE-CSIC/IEEC, Spain
TU4.R11.3: SOIL MOISTURE RETRIEVAL USING IN SITU AND DATA SIMULATION REGULARIZED DEEP LEARNING MODELS
Grigorios Tsagkatakis, Foundation for Research and Technology - Hellas, Greece, Greece; Mahta Moghaddam, University of Southern California, United States; Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece, Greece
TU4.R11.4: SPACEBORNE GNSS-R SEA SURFACE RAINFALL INTENSITY RETRIEVAL CONSIDERING THE EFFECTS OF WIND AND WAVE
Nianfu Xu, Kegen Yu, Changyang Wang, Kun Zhang, Nanshan Zheng, China University of Mining and Technology, China
TU4.R11.5: MUON SPACE MULTI-MISSION GNSS-R DATA PRODUCTS
Thomas Maximillian Roberts, Ian Colwell, Clara Chew, Karl Nordstrom, Stephen Lowe, Linus Tan, Dallas Masters, Daniel McCleese, Muon Space, Inc., United States
TU4.R11.6: AI for GNSS Reflectometry: Enhanced Wind Speed Estimation and Vegetation Water Content Retrieval
Milad Asgarimehr, Tianqi Xiao, German Research Centre for Geosciences GFZ, Germany; Daixin Zhao, German Aerospace Center DLR, Germany; Caroline Arnold, German Climate Computing Centre DKRZ, Germany; Lichao Mou, German Aerospace Center DLR, Germany; Jens Wickert, German Research Centre for Geosciences GFZ, Germany
TU4.R11.7: PHYSICS-INFORMED DUAL ARCHITECTURE NEURAL NETWORKS FOR ENHANCED ESTIMATION OF DRILLING DYNAMICS
Jeanne Redaud, Maxime Darrin, Université Paris-Saclay, France; Nasser Kazemi, Université du Québec à Montréal (UQAM), Canada; Jean Auriol, Université Paris-Saclay, France
Resources
No resources available.