SEA ICE Extent Retrieval with Ku-Band Rotating Fan Beam Scatterometer Data
- Resource Type
- Conference
- Authors
- Liu, Liling; Zhai, Hanfei; Dong, Xiaolong; Zhao, Fei
- Source
- IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :3810-3813 Jul, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Microwave integrated circuits
Correlation
Radar measurements
Microwave theory and techniques
Antarctica
Microwave radiometry
Arctic
sea ice extent
scatterometer
Bayesian method
CSCAT
- Language
- ISSN
- 2153-7003
Polar sea ice extent is a key component to a number of global geophysical processes. The unique capability and long record of scatterometer data provide a useful tool for polar sea ice extent retrieval. The Ku-band dual-polarized rotating fan-beam scatterometer onboard the China-France Oceanography Satellite (CFOSAT) launched in 2018 is a good candidate to continue the scatterometer sea ice extent data set of KNMI and OSI SAF. The paper utilizes the Bayesian methodology for sea ice extent retrieval of the CFOSAT scatterometer (CSCAT) data and evaluate the sea ice extent derived from the ice-masked imagery against the Special Sensor Microwave Imager/Sounder (SSMI/S) data set and Advanced Microwave Scanning Radiometer2 (AMSR2) data set during 2019. The results suggest CSCAT sea ice extent correlates well with the AMSR2 over sea ice concentrations (SIC) 25% for Antarctic, but different seasonally dependent correlations for Arctic.