摘要
基础研究表明大气微量气体成分的精确反演需要超高分辨率光谱数据,空间外差光谱技术是近年来得以迅速发展的新型超光谱分析技术,综合了光栅及傅里叶变换光谱技术的特点。对空间外差光谱技术基本原理进行了分析,阐述了空间外差干涉数据复原光谱信息流程。针对大气主要温室气体CO_2开展空间外差光谱技术在大气遥感探测方面的应用研究,通过地基遥感观测实验,分析空间外差光谱系统的探测灵敏度,验证超光谱数据对大气微量气体浓度变化检测能力。实验表明空间外差光谱技术在大气遥感探测尤其是微量气体成份探测中具有针对性和优越性。
Fine retrieval for atmospheric components needs hyper-spectral data in basic researches. Spatial heterodyne spectroscopy （SHS） is a novel technology for analysis of hyper-spectral combing grating with Fourier transform spectroscopy. The basic concept of SHS and the flow of recovering spectrum from SHS fringes are introduced. Aiming at detection of main greenhouse gases such as CO2, the application of SHS in atmospheric remote sensing is developed. By the ground-based remote sensing experiment, detective sensitivity of SHS system is analyzed, detective ability of hyper-spectral data for trace components is validated. The experiment results demonstrate that SHS has potential and superiority in atmospheric remote sensing, especially in trace components＇s detection.
出处
《大气与环境光学学报》
CAS
2010年第6期463-468,共6页
Journal of Atmospheric and Environmental Optics
基金
中科院知识创新工程重要方向项目(KGCX2-YW-418)资助
关键词
空间外差光谱技术
超光谱
大气遥感
CO2
spatial heterodyne spectroscopy
hyper-spectral
atmospheric remote sensing
CO2
