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全文摘要次数: 244 全文下载次数: 152
引用本文:

DOI:

10.11834/jrs.20210143

收稿日期:

2020-05-06

修改日期:

2020-10-22

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组合表面Bragg散射模型共极化SAR海表面风速反演
方贺1, 杨劲松2, 樊高峰1, 李超3
1.浙江省气候中心;2.自然资源部第二海洋研究所 卫星海洋环境动力学国家重点实验室;3.江苏省气象台
摘要:

组合表面布拉格散射模型(Composite Surface Bragg Scattering, CSBS)由布拉格(Bragg)散射模型和几何光学模型组成,是海洋微波散射的经典模型,可用于星载合成孔径雷达(Synthetic Aperture Radar,SAR)海表面风场反演。研究指出,Bragg散射模型仅适用于中等入射角条件,几何光学模型则更适用于小入射角情形。然而,如何确定中等和小入射角的阈值,即CSBS模型最优入射角的选取目前尚无定论。基于142景成像于美国东西海岸和中国东海的RADARSAT-2精细四极化SAR影像数据和海洋浮标数据,本文提出了一种最优局地入射角查找算法,分别对VV和HH极化SAR数据进行最优入射角阈值的选取。结果显示,局地入射角 和 分别为VV和HH极化影像CSBS模型反演风速最优入射角。基于最优入射角的选取,本文在0~15m/s海况区间内利用CSBS模型对VV和HH极化SAR影像开展风速反演实验,并将反演风速与浮标风速进行对比。结果显示,基于VV和HH极化数据的CSBS模型反演风速与浮标风速均方根误差分别为2.15m/s和2.32m/s,相关系数分别为0.79和0.75,两者具有良好的一致性。本文研究结论表明基于最优入射角设置后的CSBS模型在海面风速小于15m/s条件下具有良好的应用性,后续研究将更加关注CSBS模型在高海况以及交叉极化SAR数据情况下的应用。

Ocean Surface Wind Speed Retrieve from Co-polarized SAR Using Composite Surface Bragg Scattering Model
Abstract:

The composite surface Bragg scattering (CSBS) model is classical ocean microwave scattering model, which can be describe the normalized radar cross section (NRCS) of microwave backscattering from a rough ocean surface. The CSBS model including a Bragg model and a geometric optics model and can be used to retrieve ocean surface wind speed from spaceborne synthetic aperture radar (SAR). Compare with Geophysical Model Function (GMF) developed by methods of empirical statistics, the CSBS model works well at all microwave frequency. It is reported that geometric optics model is most suitable for small local incidence angles while Bragg model tend to be best for moderate incidence angles. In other words, for small local radar incidence angles that are smaller than a given angle setting, the two-scale backscattering mechanism of the sea surface is replaced by a geometric optics solution for specular reflection. However, how to determine the threshold for small and moderate local incidence angles still an open question. In order to find the optimal radar incidence angle at co-polarized (VV- and HH-polarized) channel, the local incidence angles search algorithm is put proposed and developed. The modeling data for the local incidence angle search algorithm including wind speed data retrieve from 142 Canada RADARSAT-2 fine-beam quad-polarized SAR images in the east coast of America, the west coast of America and the East China Sea. Ocean surface wind speed measured from the National Data Buoy Center (NDBC), the Environment and Climate Chane Canada (ECCC) and the China State Oceanic (SOA) are taken as reference wind speed in this paper. The conclusion shows that the optimal setting of 14 and 16 degrees are the optimal radar incidence angle for ocean surface wind speeds retrieve from CSBS model at VV- and HH-polarized RADARSAT-2 SAR images. Based on the optimal incidence angle setting, taken ocean buoy-measured wind speed data as references, ocean surface wind speed retrieve from VV- and HH-polarized RADARSAT-2 SAR data using CSBS model at 0~15m/s wind condition. Results show that the ocean surface wind speeds retrieve from RADARSAT-2 fine-beam quad-polarized SAR data using CSBS model at VV- and HH-polarized channel have a good agreement with in situ ocean buoy wind speed. The root mean square error (RMSE) of SAR-retrieved wind speed and buoy-measured wind speed are 2.15m/s(VV-polarized channel) and 2.32m/s(HH-polarized channel) , with the correlation coefficient are 0.79(VV-polarized channel) and 0.75(HH-polarized channel), which are statistically significant at 99.9 significance level, respectively. The conclusion of this article indicated that the optimized incidence angle setting of the CSBS model found in our study is has good applicability and reliability under low-to-moderate ocean surface wind speed (no higher than 15m/s). From case comparisons of the CBS model with RADARSAT-2 SAR images, it is believable that the optimized small incidence angle setting of 14 and 16 degrees of the CBS model is suitable for the microwave frequency of the C-band with co-polarization. More studies on the optimized small incidence angle setting of the CBS model and its application at other microwave frequencies, cross polarizations or high sea states will be considered in future investigations.

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