Sea ice detection with GNSS-Reflectometry Data from TechDemoSat-1
This sea ice detection method shows the potential for a future GNSS-R polar mission, attaining an agreement of over 97% globally when compared to ESA’s CCI (European Space Agency’s Climate Change Initiative) sea ice concentration product. The algorithm uses a combination of two parameters derived from the delay-Doppler Maps (DDMs) to quantify the spread of power in delay and Doppler. Threshold application on a small Antarctic training dataset then allows sea ice to be distinguished from open water. Almost 50 different parameters are derived from the DDMs throughout this study and the two best performing parameters are then applied to the dataset as a whole. Differences between sea ice detection from this method and passive microwave, scatterometry and operational datasets are explored. We apply this method to the entire TDS-1 dataset and demonstrate how we can provide information on the seasonal and multi-year changes in sea ice distribution.