Abstract: In response to the prominent problems of long revisit cycles, and difficulty in achieving continuous monitoring of the entire structure and process of typhoons from the edge to the center in the current stage of meteorological remote sensing satellite typhoon monitoring, CYGNSS using spaceborne GNSS-R technology is introduced to carry out typhoon full process monitoring. Based on the L2 wind speed product of CYGNSS, a data decontamination strategy of inter track anomaly removal method was proposed. By selecting typical typhoon events, it was verified that the on-board CYGNSS had the capability of monitoring the whole process from the initial stage of typhoon generation to various stages of development and the capability of identifying the structure of a typhoon. Using the 2022—2024 CYGNSS wind speed product to compare with NOAA provided three ocean typhoon wind speed data, the results show that the root mean square error of CYGNSS wind speed relative to NOAA wind speed is 11.98 m/s, and the correlation coefficient is 0.713, indicating that CYGNSS wind speed product has good consistency and reliability in global scale typhoon monitoring.