Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR1.O-6.1

CYGNSS SOIL MOISTURE ESTIMATION USING MACHINE LEARNING REGRESSION

Yan Jia, Nanjing University of Posts and Telecommunications, China; Qingyun Yan, Shuanggen Jin, Nanjing University of Information Science and Technology, China; Patrizia Savi, Politecnico di Torino, Italy
Session:
Machine Learning and AI Methods for Soil Moisture Retrieval
Track:
Land Applications
Presentation Time:
Fri, 16 Jul, 08:30-08:45 (UTC)
Fri, 16 Jul, 10:30-10:45 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 16:30-16:45 China Standard Time (UTC +8)
Fri, 16 Jul, 04:30-04:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Mehmet Kurum, Mississippi State University and Emanuele Santi, CNR-IFAC
Session Manager:
Simon van Diepen
Presentation
Discussion
Resources
Session FR1.O-6
FR1.O-6.1: CYGNSS SOIL MOISTURE ESTIMATION USING MACHINE LEARNING REGRESSION
Yan Jia, Nanjing University of Posts and Telecommunications, China; Qingyun Yan, Shuanggen Jin, Nanjing University of Information Science and Technology, China; Patrizia Savi, Politecnico di Torino, Italy
FR1.O-6.2: NEURAL NETWORK INTEGRATION OF SMAP AND SENTINEL-1 FOR ESTIMATING SOIL MOISTURE AT HIGH SPATIAL RESOLUTION
Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Giacomo Fontanelli, CNR-IFAC, Italy
FR1.O-6.3: AN EVALUATION OF SOIL MOISTURE RETRIEVAL USING MACHINE LEARNING METHODS: APPLICATION IN ARID REGIONS OF TUNISIA
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah, RIADI Laboratory, National School of Computer Science, Tunisia
FR1.O-6.4: MACHINE LEARNING BASED SOIL MOISTURE RETRIEVAL ALGORITHM AND VALIDATION AT SELECTED AGRICULTURAL SITES OVER INDIA USING CYGNSS DATA
Shivani Tyagi, Dharmendra Kumar Pandey, Deepak Putrevu, Space Application Centre Ahmedabad, India; Prashant k. Srivastava, Banaras Hindu University, Varanasi, India; Arundhati Misra, Space Application Centre Ahmedabad, India
FR1.O-6.5: DEEP MULTI-MODAL SATELLITE AND IN-SITU OBSERVATION FUSION FOR SOIL MOISTURE RETRIEVAL
Grigorios Tsagkatakis, Foundation for Research and Technology - Hellas, Greece; Mahta Moghaddam, University of Southern California, United States; Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, Greece
FR1.O-6.6: OBSERVING SOIL MOISTURE CHANGE USING C-BAND INTERFEROMETRY USING MACHINE LEARNING REGRESSION
Nuno Cirne Mira, CINAMIL - Academia Militar, Portugal; João Catalão, IDL, Faculdade de Ciências da Universidade de Lisboa, Portugal; Giovanni Nico, Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo, Italy

Quicklinks

Downloads

Programme guide