Results 21 to 30 of about 373 (138)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe monitoring of global soil moisture is crucial for understanding the hydrological cycle and managing terrestrial water resources. The China–France Oceanography Satellite (CFOSAT), equipped with the first sector-beam rotary scanning microwave ...
Pan Duan +14 more
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Global Validation of SWIM/CFOSAT Wind Waves Against Voluntary Observing Ship Data
Earth and Space Science, 2022 The article presents a joint analysis of wind and wave characteristics derived from Voluntary Observing Ship (VOS) data and measurements of the innovative Ku‐band radar SWIM (Surface Waves Investigation and Monitoring) carried by Chinese‐French Ocean ...
V. G. Grigorieva +2 more
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An Ensemble Machine Learning Approach for Sea Ice Monitoring Using CFOSAT/SCAT Data
Remote SensingSea ice is a crucial component of the global climate system. The China–French Ocean Satellite Scatterometer (CFOSAT/SCAT, CSCAT) employs an innovative rotating fan beam system.
Yanping Luo +3 more
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A Novel Rain Identification and Rain Intensity Classification Method for the CFOSAT Scatterometer
Remote SensingThe China–France oceanography satellite scatterometer (CSCAT) is a rotating fan-beam scanning observation scatterometer operating in the Ku-band, and its product quality is affected by rain contamination. The multiple azimuthal NRCS measurements provided
Meixuan Quan, Jie Zhang, Rui Zhang
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The Assimilation of CFOSAT Wave Heights Using Statistical Background Errors
Remote SensingThis paper discusses the assimilation of significant wave height (Hs) observations from the China France Oceanography SATellite (CFOSAT) into the Global Deterministic Wave Prediction System developed by Environment and Climate Change Canada.
Leqiang Sun +4 more
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Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method
Remote SensingParasitic peaks are observed in the low wavenumber regions of Surface Waves Investigation and Monitoring (SWIM) wave height spectra. They can be attributed to random fluctuations in the wave spectra caused mainly by speckle noise, compromising the ...
Jingwei Gu +5 more
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Arctic Sea Ice Classification Based on CFOSAT SWIM Data at Multiple Small Incidence Angles
Remote Sensing, 2021 Sea ice type is the key parameter of Arctic sea ice monitoring. Microwave remote sensors with medium incidence and normal incidence modes are the primary detection methods for sea ice types. The Surface Wave Investigation and Monitoring instrument (SWIM)
Meijie Liu +8 more
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Kongjian kexue xuebao仪器噪声(Kpc)和地球物理噪声(Kpg)是影响星载微波散射计后向散射系数(σ0)测量精度以及海面风场反演精度的关键因素. 针对中法海洋卫星(CFOSAT)散射计(CSCAT), 详细分析了Kpc和Kpg随海面风速、入射角、风单元网格分辨率以及离岸距离等因素变化的特征. 结果表明, 低风速条件下海面风场变异性较大, Kpg为σ0测量误差的主导因素, 而且风单元网格越大、海面风场的不均匀性越强, Kpg也就越大, 而在高风速条件下, 海面风场变异性较小, Kpc与Kpg贡献相当.
董 楹, 林 文明
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Estimation and Analysis of Stokes Drift Based on CFOSAT Wave Spectrum Data
Remote SensingStokes drift is the net displacement of ocean surface water particles caused by nonlinear surface waves. Its estimation typically relies on sea surface wave spectra, and truncation of the high-frequency spectral tail can significantly affect accuracy ...
Xinru Duan, Jinbao Song
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Remote SensingThe Surface Waves Investigation and Monitoring instrument (SWIM) provides the directional wave spectrum within the wavelength range of 23–500 m, corresponding to a frequency range of 0.056–0.26 Hz in deep water.
Yuexin Luo +3 more
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