Integrating Physics and Machine Learning for Soil Moisture Retrieval Using CYGNSS Observations In Proceedings
2024 AGU Annual Meeting Preprint Collection on ESS Open Archive
Publications
https://spl.ics.forth.gr/publications/
Quantifying Uncertainty in Machine Learning Based Soil Moisture Retrieval From GNSS-R Measurements In Proceedings
2024 International Conference on Electromagnetics in Advanced Applications (ICEAA), Lisbon, Portugal, 2024, pp. 492-492, doi: 10.1109/ICEAA61917.2024.10701691.
Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations In Proceedings
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 1824-1828, doi: 10.1109/IGARSS53475.2024.10642241
Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture In Proceedings
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 1478-1480, doi: 10.1109/IGARSS53475.2024.10641600
Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Model In Proceedings
Tsagkatakis GrigoriosTsakalides Panagiotiset al.
in Proc. 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS ‘24), Athens, Greece