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首页> 外文会议>Conference on Earth Observing Systems VII, Jul 7-10, 2002, Seattle, USA >Use of CAIV Techniques to Build Advanced VIIRS Approaches for NPOESS Key EDRs
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Use of CAIV Techniques to Build Advanced VIIRS Approaches for NPOESS Key EDRs

机译：使用CAIV技术为NPOESS关键EDR建立高级VIIRS方法

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摘要

The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Visible and Infrared Imager/Radiometer Suite (VIIRS) has responsibility for 23 Environmental Data Records (EDRs), three of them key NPOESS EDRs of highest value to operational users: Imagery, Sea Surface Temperature (SST), and Soil Moisture (primary EDR from the NPOESS conical microwave imager/sounder [CMIS]). The VIIRS design was guided by a set of government requirements priorities, which were topped by key EDR performance. Taking advantage of the MODerate-resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field Sensor (SeaWiFS) heritage, Raytheon's challenge was to optimize VIIRS system performance using Cost As Independent Variable (CAIV) analyses. The SST key EDR solution combines the traditional long-wave infrared (LWIR) split window with a second split window in the mid -wave infrared (MWIR) 3-4μm region to offer a globally robust "dual split-window" SST algorithm operable daytime and nighttime with a precision of 0.25K, and an overall uncertainty of 0.35K (intermediate objective) across the entire SST measurement range. This capability was recently validated by the heritage MODIS on NASA's Terra satellite. The imagery key EDR solution permits superb multi-spectral detection and discrimination of cloud presence and type along with substantial ancillary "helper bands" such as the revolutionary 1.38μm cirrus band now also validated by MODIS. The soil moisture solution is a cross-sensor fusion approach that combines the finer spatial resolution of VIIRS with traditional coarse resolution microwave-derived soil moisture retrievals to achieve objectives under open and partially vegetated scenes. This paper briefly describes the VIIRS sensor design, the key EDR performance, and the CAIV design process with three specific hardware and EDR tradeoff examples. Finally, the paper concludes with a description of the key risk-reduction design processes that led to a relatively low-risk (for advanced space-borne hardware programs) developmental design, which is now approaching hardware realization.
机译：国家极轨运行环境卫星可见光和红外成像仪/辐射仪套件（VIIRS）负责23个环境数据记录（EDR），其中三个对运营用户具有最高价值的关键NPOESS EDR：影像，海面温度（SST）和土壤湿度（来自NPOESS锥形微波成像仪/ Sounder [CMIS]的主要EDR）。 VIIRS的设计受到一系列政府要求优先事项的指导，而这些要求均以关键的EDR性能为重。利用现代分辨率成像光谱仪（MODIS）和海景宽视场传感器（SeaWiFS）的优势，雷神公司的挑战是使用成本独立变量（CAIV）分析来优化VIIRS系统性能。 SST关键EDR解决方案将传统的长波红外（LWIR）拆分窗口与中波红外（MWIR）3-4μm区域中的第二个拆分窗口结合在一起，提供可在白天运行的全局鲁棒的“双拆分窗口” SST算法夜间精度为0.25K，整个SST测量范围的总不确定度为0.35K（中间目标）。该功能最近已通过NASA Terra卫星上的传统MODIS进行了验证。图像关键的EDR解决方案可对云的存在和类型进行出色的多光谱检测和识别，并带有大量辅助“辅助带”，例如革命性的1.38μm卷云带，现在也已通过MODIS验证。土壤水分解决方案是一种跨传感器融合方法，将VIIRS的更精细的空间分辨率与传统的由微波产生的粗糙分辨率的土壤水分取回相结合，以在开放和部分植被的场景下实现目标。本文通过三个特定的硬件和EDR权衡示例简要介绍了VIIRS传感器设计，关键的EDR性能以及CAIV设计过程。最后，本文以对降低风险的关键设计过程进行了描述，这些过程导致了相对低风险（对于先进的星载硬件程序）的开发设计，而现在该设计正在接近硬件实现。

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