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卫星激光遥感是继红外、可见和微波之后的一种新型主动探测手段,其数据反演是卫星应用的关键技术和重要环节。卫星激光大气遥感主要有气体成分浓度、气溶胶/云垂直廓线和三维风场等三个应用方向。针对大气CO2和气溶胶/云等要素,分别介绍了天基激光差分吸收和后向散射探测原理,探讨了CO2反演bottom-up算法和气溶胶/云反演层次查找分类算法流程。此外,设计了卫星遥感分级数据产品并给出了反演算法地基和机载验证途径。该研究可服务于激光大气遥感卫星的顶层设计。
Satellite laser remote sensing is a new active exploration method after infrared, visible and microwave. The data inversion is the key technology and an important link of satellite application. Satellite laser atmospheric remote sensing mainly has three application directions of gas concentration, aerosol / cloud vertical profile and three-dimensional wind field. In view of atmospheric CO2 and aerosol / cloud and other elements, the principle of differential absorption and backscattering detection of space-based laser are introduced respectively. The CO2 inversion bottom-up algorithm and the aerosol / cloud inversion hierarchical search algorithm flow are discussed. In addition, a satellite remote sensing graded data product is designed and the inversion algorithm ground and airborne verification approach are given. The study serves the top-level design of laser atmospheric remote sensing satellites.