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利用一种改进的算法对中国高分三号同极化SAR图像反演的有效波高的验证 总被引:1,自引:1,他引:0
Chinese Gaofen-3(GF-3) is the first civilian satellite to carry C-band(5.3 GHz) synthetic aperture radar(SAR).During the period of August 2016 to December 2017, 1 523 GF-3 SAR images acquired in quad-polarization(vertical-vertical(VV), horizontal-horizontal(HH), vertical-horizontal(VH), and horizontal-vertical(HV)) mode were recorded, mostly around China's seas. In our previous study, the root mean square error(RMSE) of significant wave height(SWH) was found to be around 0.58 m when compared with retrieval results from a few GF-3 SAR images in co-polarization(VV and HH) with moored measurements by using an empirical algorithm CSAR_WAVE. We collected a number of sub-scenes from these 1 523 images in the co-polarization channel,which were collocated with wind and SWH data from the European Centre for Medium-Range Weather Forecasts(ECMWF) reanalysis field at a 0.125° grid. Through the collected dataset, an improved empirical wave retrieval algorithm for GF-3 SAR in co-polarization was tuned, herein denoted as CSAR_WAVE2. An additional 92 GF-3 SAR images were implemented in order to validate CSAR_WAVE2 against SWH from altimeter Jason-2, showing an about 0.52 m RMSE of SWH for co-polarization GF-3 SAR. Therefore, we conclude that the proposed empirical algorithm has a good performance for wave retrieval from GF-3 SAR images in co-polarization. 相似文献
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把 SAR 海面风场反演的地球物理模型与海浪的参数化初猜谱反演模式结合起来,用于提取 Ter r aSAR-X 图像的海浪
要素信息。首先采用风场反演的经验模型得到 Ter r aSAR-X 图像的海面风场,然后将风场信息作为初始条件应用于参数化初
猜测谱模式中,从而得到海浪谱以及相关的海浪要素信息。反演结果与对应的浮标站点数据进行对比,对比结果显示:风速
的绝对误差在 1. 1 m/ s以内,风向的绝对误差在 5毅以内,有效波高的绝对误差在 0. 93 m 以内,平均周期的绝对误差在 2. 43 s
以内。因此,可以得出结论:本文使用的方法能有效的从 Ter r aSAR-X 图像中提取海浪要素的信息。 相似文献
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Gaofen-3(GF-3), a Chinese civil synthetic aperture radar(SAR) at C-band, has operated since August 2016.Remarkably, several typhoons have been captured by GF-3 around the China Seas over its last two-year mission.In this study, six images acquired in Global Observation(GLO) and Wide ScanSAR(WSC) modes at verticalvertical(VV) polarization channel are discussed. This work focuses on investigating the observation of rainfall using GF-3 SAR. These images were collocated with winds from the European Centre for Medium-Range Weather Forecasts(ECMWF), significant wave height simulated from the WAVEWATCH-III(WW3) model, sea surface currents from climate forecast system version 2(CFSv2) of the National Centers for Environmental Prediction(NCEP) and rain rate data from the Tropical Rainfall Measuring Mission(TRMM) satellite. Sea surface roughness,was compared with the normalized radar cross section(NRCS) from SAR observations, and indicated a 0.8 correlation(COR). We analyzed the dependences of the difference between model-simulated NRCS and SARmeasured NRCS on the TRMM rain rate and WW3-simulated significant wave height. It was found that the effects of rain on SAR damps the radar signal at incidence angles ranging from 15° to 30°, while it enhances the radar signal at incidence angles ranging from 30° to 45° and incidence angles smaller than 10°. This behavior is consistent with previous studies and an algorithm for rain rate retrieval is anticipated for GF-3 SAR. 相似文献
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基于理论的气旋条件下双极化C波段合成孔径雷达波参数检测 总被引:2,自引:1,他引:1
Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar(SAR)intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our previous studies, it was shown that the wave retrieval algorithm, named the parameterized first-guess spectrum method(PFSM), works for C-band and X-band SAR at low to moderate sea states. In this work, we investigate the performance of the PFSM algorithm when it is applied for dual-polarization c-band sentinel-1(S-1) SAR acquired in extra wide-swath(EW) and interferometric wide-swath(IW) mode under cyclonic conditions.Strong winds are retrieved from six vertical-horizontal(VH) polarization S-1 SAR images using the c-band crosspolarization coupled-parameters ocean(C-3 PO) model and then wave parameters are obtained from the image at the vertical-vertical(VV) polarization channel. significant wave height(SWH) and mean wave period(MWP) are compared with simulations from the WAVEWATCH-III(WW3) model. The validation shows a 0.69 m root mean square error(RMSE) of SWH with a –0.01 m bias and a 0.62 s RMSE of MWP with a –0.17 s bias. Although the PFSM algorithm relies on a good quality SAR spectrum, this study confirms the applicability for wave retrieval from an S-1 SAR image. Moreover, it is found that the retrieved results have less accuracy on the right sector of cyclone eyes where swell directly affects strong wind-sea, while the PFSM algorithm works well on the left and rear sectors of cyclone eyes where the interaction of wind-sea and swell is relatively poor. 相似文献
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海洋溢油溯源数值模拟可以为海上溢油事故的应急处置提供技术支撑,同时对确定溢油事故的泄漏源和责任方也具有重要的指导意义。本文概述了海洋溢油溯源数值模拟方法的最新研究成果,总结分析了包括对流扩散过程的逆运算、受体模式、粒子追踪模式和垂向溯源方法等在内的四类数值模拟方法的基础理论和研究进展。同时,归纳了三种常用的溢油溯源数值模拟结果分析方法,并给出了每种方法的优缺点及其对应的适用条件。在分析海洋溢油溯源数值模拟方法应用现状的基础上,初步探讨面临的挑战。这对全面理解溢油溯源数值模拟方法的理论和应用提供了重要参考,并可为相关工作和后续数值模拟方法的改进奠定基础。 相似文献
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