Assessment of CYGNSS coastal wind speed retrieval

GNSS-R techniques have shown their capability of observing ocean environment parameters, such as wave height, sea surface height, sea surface wind speed, and snow and sea ice characterization. It has become one of the research hotspots in remote sensing detection and navigation technology at home and abroad. However, it's very difficult to obtain satellite wind field nearshore, because the reflected signals are contaminated effect by the land, islands and shore topography. The complexity of coastal wind field is the main reason why these areas are so important. It is necessary to retrieve the wind field of coastal areas from remote sensing satellite. In order to retrieve wind speed from CYGNSS, the matched data were processed by matching CYGNSS with NCEP wind speed. An empirical wind speed retrieval algorithm was established for CYGNSS coastal data. The accuracy of CYGNSS coastal wind field was determined by various comparisons with NCEP. The evaluations of reflected signals effected by the land, islands and shore topography were also briefly discussed in the end.