Publication
Martin J. Unwin, Nazzareno Pierdicca Estel Cardellach, Kimmo Rautiainen, Giuseppe Foti, Paul Blunt, Leila Guerriero, Emanuele Santi, Michel Tossaint, “An Introduction to the HydroGNSS GNSS Reflectometry Remote Sensing Mission”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, JSTARS-2021-00079, submitted January 2021, revised April 2021.
K. Rautiainen, D. Comite, J. Cohen, E. Cardellach, M. Unwin and N. Pierdicca, "Freeze-Thaw Detection over High-Latitude Regions by Means of GNSS-R Data," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3125315.
D. Comite et al., "GNSS-R for Sustainable Development: A Review of the Geophysical Variables Addressed by the Hydrognss Mission," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 4216-4219, doi: 10.1109/IGARSS46834.2022.9884967.
E. Santi et al., "Combining CYGNSS and Machine Learning for Soil Moisture and Forest Biomass Retrieval in View of the ESA Scout HydroGNSS Mission," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 7433-7436, doi: 10.1109/IGARSS46834.2022.9884738.
J.Peng, W.Li, E.Cardellach, G.Marigold, M-P Clarizia, "Signal Coherence and Water Detection Algorithms for the ESA HydroGNSS Mission," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no. 5801218, doi: 10.1109/TGRS.2024.3410876.
L. Dente, L. Guerriero, E. Santi, M. Zribi, D. Comite and N. Pierdicca, "Polarimetric Features of GNSS-R Signal Over Land: A Simulation Study," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024, Art no. 2005215, doi: 10.1109/TGRS.2024.3409880.
Emanuele Santi, Davide Comite, Laura Dente, Leila Guerriero, Nazzareno Pierdicca, Maria Clarizia and Nicolas Floury, “Global soil moisture mapping at 5 km by combining GNSS reflectometry and machine learning in view of HydroGNSS”, Science of Remote Sensing, 10.1016/j.srs.2024.100177
Costa Pinho Alves, O. (2024). A deep learning approach for spatiotemporal interpolation of GNSS-R soil moisture retrievals [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.117346
Jilun Peng, Estel Cardellach, Weiqiang Li, Serni Ribó and Antonio Rius, “Towards the exploitation of HydroGNSS coherent channel: High sampling rate products”, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2025.3554191