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Application of Reflected Global Navigation Satellite System (GNSS-R) Signals in the Estimation of Sea Roughness Effects in Microwave Radiometry

机译:反射式全球导航卫星系统(GNSS-R)信号在微波辐射测量中估计海浪粗糙度的应用

摘要

In February-March 2009 NASA JPL conducted an airborne field campaign using the Passive Active L-band System (PALS) and the Ku-band Polarimetric Scatterometer (PolSCAT) collecting measurements of brightness temperature and near surface wind speeds. Flights were conducted over a region of expected high-speed winds in the Atlantic Ocean, for the purposes of algorithm development for salinity retrievals. Wind speeds encountered were in the range of 5 to 25 m/s during the two weeks deployment. The NASA-Langley GPS delay-mapping receiver (DMR) was also flown to collect GPS signals reflected from the ocean surface and generate post-correlation power vs. delay measurements. This data was used to estimate ocean surface roughness and a strong correlation with brightness temperature was found. Initial results suggest that reflected GPS signals, using small low-power instruments, will provide an additional source of data for correcting brightness temperature measurements for the purpose of sea surface salinity retrievals.
机译:2009年2月至3月,美国宇航局JPL使用无源主动L波段系统(PALS)和Ku波段极化散射仪(PolSCAT)进行了一次空降野战,收集了亮度温度和近地表风速的测量值。为了开发用于盐度获取的算法,在大西洋上预期的高速风区域进行了飞行。在两周的部署过程中,遇到的风速在5至25 m / s的范围内。还飞行了NASA-Langley GPS延迟映射接收器(DMR),以收集从海面反射的GPS信号,并生成后相关功率与延迟测量值。该数据用于估计海洋表面粗糙度,并且发现与亮度温度有很强的相关性。初步结果表明,使用小型低功耗仪器反射的GPS信号将提供额外的数据源,以校正亮度温度测量值,以恢复海面盐度。

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