Monitoring sea ice and dry snow with GNSS reflections

• Published in: 2010 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Fabra Cervellera, Fran, Cardellach, Estel, Nogues-Correig, Oleguer, Oliveras, Santiago, Ribó, Serni, Rius, Antonio, Belmonte, Maria, Semmling, Maximilian, Macelloni, Giovanni, Pettinato, Simone, Zasso, Renato, D'Addio, Salvatore
• Format: Conference Object
• Language: English
• Published: Institute of Electrical and Electronics Engineers 2010
• Subjects: Greenland; Antarc*; Antarctica; Sea ice
• Online Access: http://hdl.handle.net/10261/38377; https://doi.org/10.1109/IGARSS.2010.5649635

© 2010 IEEE. Reprinted, with permission, from Fabra , F., Cardellach, E., Nogués, O., Oliveras, S., Ribó, S., Rius, A., Belmonte, M., Semmling, M., Macelloni, G., Pettinato, S., Zasso, R., D Addio, S., Monitoring sea ice and dry snow with GNSS reflections, Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IEEE IGARSS), and july/2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of CSIC products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [e-mail]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. GPS reflected signals have become a source of opportunity for remote sensing of the Earth's suface. In this work, we present several capabilities of this technique in two different polar environments: Greenland and Antarctica. The first part is dedicated to the retrieval of sea-ice properties, giving emphasis to the study of the coherent phase for altimetric and roughness estimations, and polarimetric measurements for the determination of the ice salinity variation. The results show good agreement with a tide model and daily ice charts. On the second part, some preliminary results and analysis strategies to retrieve dry snow signatures are presented. Peer reviewed