开发用于CO2和CH4反演的紧凑型短波红外成像光谱仪，采用光子晶体滤波器
Developing a Compact SWIR Imaging Spectrometer for CO2 and CH4 Retrieval Using Photonic Crystal Filters
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中文总结 AI 辅助
本研究开发了基于光子晶体滤波器的紧凑型短波红外成像光谱仪，提出改进反演算法降低偏差，其中分辨率温室气体制图性能优于CO2M任务，且可压缩光谱信息，后续将开展实验验证。
中文摘要 AI 辅助
对大气进行更高空间和时间分辨率测量的需求，正在推动卫星及卫星星座的开发，以补充现有的旗舰任务。我们正在开发一种基于定制光谱透射特性光子晶体滤波器的仪器概念，用于痕量气体反演，这些滤波器可直接与探测器模块集成，实现高度紧凑的系统架构。本研究中，我们针对1.6微米短波红外波段的甲烷和二氧化碳反演，开展了性能模拟，针对的是空间分辨率约250米、幅宽150公里的中分辨率全球覆盖任务。我们还提出了一种改进的反演算法，可大幅降低反演偏差。这些结果表明，所提出的架构在中分辨率全球温室气体制图方面具有潜力，其反演性能可与CO2M等计划中的最先进全球制图任务相媲美，同时空间分辨率显著更高。该测量方法还会固有地压缩采集的光谱信息，降低对高下行数据速率的需求。未来一年，这些滤波器将由NIL Technology制造，随后进行机械集成并在 breadboard（ breadboard 指用于原型验证的试验平台）系统中开展实验验证。
英文摘要
The need for atmospheric measurements with higher spatial and temporal resolution is driving the development of satellites and satellite constellations to complement existing flagship missions. We are developing an instrument concept based on photonic crystal filters with tailored spectral transmission for trace gas retrieval. These filters can be integrated directly with the detector module, enabling a highly compact system architecture. In this work, we present performance simulations for methane and carbon dioxide retrieval in the 1.6 um SWIR band for a medium-resolution global coverage mission with an approximately 250 m spatial resolution and a 150 km swath. We furthermore introduce an improved retrieval algorithm that substantially reduces retrieval bias. These results demonstrate the potential of the proposed architecture for medium-resolution global greenhouse-gas mapping, with retrieval performance comparable to state-of-the-art global mapping missions such as the planned CO2M mission at substantially finer spatial resolution. This measurement approach also inherently compresses the acquired spectral information, reducing the need for high downlink data rates. In the coming year, these filters will be fabricated by NIL Technology, followed by mechanical integration and experimental validation in a breadboard system.
