ABSTRACT
Monitoring sea ice thickness (SIT) and its change helps to conduct research on climate change, environmental change, and ecological security at regional and global scales, but also has important practical significance for marine resources development, maritime transportation, shipping, and polar expeditions. However, the in situ SIT measuring in the field is very cumbersome and limited by spatial coverage. Instead, remote sensing gives a more efficient and economical option. Compared to other remote sensing methods, the advantages presented by GNSS-R provide a more promising application for sea ice remote sensing. This chapter will develop and establish a semi-empirical model to realize the inversion of sea ice thickness based on GNSS-R signals. This basis further improves the accuracy of the results. The development of this study will provide a theoretical basis for the analysis of GNSS-R signals on sea ice cover, and thus give accurate inversion results of sea ice thickness, develop new applications of GNSS-R signals in sea ice remote sensing, and ultimately may provide the theoretical and experimental basis for the promotion and development of sea ice related industries and research.
