Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment
Authors:
- Joan Francesc Munoz-MartinJoan Francesc Munoz-Martin
- Adrian PerezAPAdrian Perez
- Adriano CampsACAdriano Camps
- Serni RibóSRSerni Ribó
- Estel CardellachECEstel Cardellach
- Julienne StroeveJSJulienne Stroeve
- Vishnu NandanVNVishnu Nandan
- Polona ItkinPIPolona Itkin
- Rasmus TonboeRTRasmus Tonboe
- Stefan HendricksSHStefan Hendricks
- Marcus HuntemannMHMarcus Huntemann
- Gunnar SpreenGSGunnar Spreen
Open Access
- 10 December 2020
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 12 (24) , 4038
Abstract
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S⌃3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data.Keywords
Funding Information
- European Space Agency (ESA PO 5001025474, ESA CN 4000128320/19/NL/FF/ab)
- Ministerio de Ciencia, Innovación y Universidades (RTI2018-099008-B-C21 / AEI / 10.13039/501100011033)
- Maria de Maeztu (MDM-2016-0600)
- Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC20192020, NSF-1820927, NFR-287871)
- Polastern Expedition (AWI_PS122_00)
This publication has 26 references indexed in Scilit:
- First Polarimetric GNSS-R Measurements from a Stratospheric Flight over Boreal ForestsRemote Sensing, 2015
- Towards an estimation of sub-sea-ice platelet-layer volume with multi-frequency electromagnetic induction soundingAnnals of Glaciology, 2015
- Retrieval of Significant Wave Height and Mean Sea Surface Level Using the GNSS-R Interference Pattern Technique: Results From a Three-Month Field CampaignIEEE Transactions on Geoscience and Remote Sensing, 2014
- Tutorial on Remote Sensing Using GNSS Bistatic Radar of OpportunityIEEE Geoscience and Remote Sensing Magazine, 2014
- Characterization of dry-snow sub-structure using GNSS reflected signalsRemote Sensing of Environment, 2012
- Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze‐up periodGeophysical Research Letters, 2012
- Review of crop growth and soil moisture monitoring from a ground‐based instrument implementing the Interference Pattern GNSS‐R TechniqueRadio Science, 2011
- Thin and thinner: Sea ice mass balance measurements during SHEBAJournal of Geophysical Research: Oceans, 2003
- Fresnel coefficients of a rough interfaceApplied Physics Letters, 1999
- The complex-dielectric constant of sea ice at frequencies in the range 0.1–40 GHzJournal of Applied Physics, 1978