WE4.P8.2
Machine learning and deep learning applications to GNSS-R for the retrieval of soil moisture and forest biomass in view of HydroGNSS
Emanuele Santi, Simone Pettinato, National Research Council - Institute of Applied Physics Florence, Italy, Italy; Nazzareno Pierdicca, Hamed Izadgoshasb, Flavio Cordari, Sapienza University of Rome, Italy; Leila Guerriero, Amirreza Khalil Zadeh, Tor Vergata University of Rome, Italy
Session:
WE4.P8: Spaceborne GNSS-R Missions Oral
Track:
Mission, Sensors and Calibration
Location:
Room P8
Presentation Time:
Wednesday, 6 August, 16:00 - 16:15
Presentation
Discussion
Resources
No resources available.
Session WE4.P8
WE4.P8.1: A HYBRID NETWORK BASED ON CNN-TRANSFORMER AND SSM MODELS FOR GLOBAL SIGNIFICANT WAVE HEIGHT ESTIMATION USING TIANMU-1 MULTI-CONSTELLATION GNSS-R DATA
Jinwei Bu, Qiulan Wang, Ziyi Wang, Chaoying Ji, Minghao He, Yutong Wang, Kunming University of Science and Technology, China
WE4.P8.2: Machine learning and deep learning applications to GNSS-R for the retrieval of soil moisture and forest biomass in view of HydroGNSS
Emanuele Santi, Simone Pettinato, National Research Council - Institute of Applied Physics Florence, Italy, Italy; Nazzareno Pierdicca, Hamed Izadgoshasb, Flavio Cordari, Sapienza University of Rome, Italy; Leila Guerriero, Amirreza Khalil Zadeh, Tor Vergata University of Rome, Italy
WE4.P8.3: ESTIMATION OF TROPICAL CYCLONE WIND STRUCTURE AND INTENSITY USING INTEGRATED CYGNSS AND SMAP DATA
Xiangchao Ma, Feng Wang, Dongkai Yang, Weichen Sun, Chuanrui Tan, Fan Gao, Beihang University, China
WE4.P8.4: Model-Based Approach in GNSS-R Waveform Analysis
Jyh-Ching Juang, National Cheng Kung University, Taiwan
WE4.P8.5: AN END-TO-END SIMULATOR FOR GNSS-R CONSTELLATION DESIGN APPLIED TO ZONAL COVERAGE
Corrado Chiatante, Oliver Hasler, Torleiv Håland Bryne, Roger Birkeland, Norwegian University of Science and Technology, Norway
Resources
No resources available.