Abstract | ||
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Gaofen-3 (GF-3) is the first Chinese civil C-band synthetic aperture radar (SAR) launched on 10 August 2016 by the China Academy of Space Technology (CAST), which operates in 12 imaging modes with a fine spatial resolution up to 1 m. As one of the primary users, the State Oceanic Administration (SOA) operationally processes GF-3 SAR Level-1 products into ocean surface wind vector and plans to officially release the near real-time SAR wind products in the near future. In this paper, the methodology of wind retrieval at C-band SAR is introduced and the first results of GF-3 SAR-derived winds are presented. In particular, the case of the coastal katabatic wind off the west coast of the U.S. captured by GF-3 is discussed. The preliminary accuracy assessment of wind speed and direction retrievals from GF-3 SAR is carried out against in situ measurements from National Data Buoy Center (NDBC) buoy measurements of National Oceanic and Atmospheric Administration (NOAA). Only the buoys located inside the GF-3 SAR wind cell (1 km) were considered as co-located in space, while the time interval between observations of SAR and buoy was limited to less the 30 min. These criteria yielded 56 co-locations during the period from January to April 2017, showing the Root Mean Square Error (RMSE) of 2.46 m/s and 22.22 degrees for wind speed and direction, respectively. Different performances due to geophysical model function (GMF) and Polarization Ratio (PR) are discussed. The preliminary results indicate that GF-3 wind retrievals are encouraging for operational implementation. |
Year | DOI | Venue |
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2017 | 10.3390/rs9070694 | REMOTE SENSING |
Keywords | Field | DocType |
GF-3,synthetic aperture radar (SAR),ocean surface wind,validation | Meteorology,Buoy,Wind speed,Space technology,Synthetic aperture radar,Remote sensing,Mean squared error,Geology,Katabatic wind,Image resolution | Journal |
Volume | Issue | Citations |
9 | 7 | 8 |
PageRank | References | Authors |
0.58 | 10 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
He Wang | 1 | 15 | 5.13 |
Jingsong Yang | 2 | 17 | 12.82 |
Alexis Mouche | 3 | 85 | 21.13 |
Weizeng Shao | 4 | 34 | 4.42 |
Jianhua Zhu | 5 | 12 | 4.25 |
Lin Ren | 6 | 15 | 3.15 |
Chunhua Xie | 7 | 53 | 4.12 |