One micron laser technology advancements at GSFC

W. Heaps
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Abstract

In recent years, lasers have proven themselves to be invaluable to a variety of remote sensing applications. LIDAR techniques have been used to measure atmospheric aerosols and a variety of trace species, profile winds, and develop high resolution topographical maps. Often it would be of great advantage to make these measurements from an orbiting satellite. Unfortunately, the space environment is a challenging one for the high power lasers that would enable many LIDAR missions. Optical mounts must maintain precision alignment during and after launch. Outgassing materials in the vacuum of space lead to contamination of laser optics. Electronic components and optical materials must survive the space environment, including a vacuum atmosphere, thermal cycling, and radiation exposure. Laser designs must be lightweight, compact, and energy efficient. Many LIDAR applications require frequency conversion systems that have never been designed or tested for use in space. For the last seven or eight years the National Aeronautical and Space Administration (NASA) has undertaken a program specifically directed at addressing the durability and long term reliability issues that face space-borne lasers (The Laser Risk Reduction Program-LRRP).
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GSFC的一微米激光技术进展
近年来,激光已经证明了自己在各种遥感应用中的无价之宝。激光雷达技术已被用于测量大气气溶胶和各种痕量物种,剖面风,并开发高分辨率地形图。通常从轨道卫星上进行这些测量会有很大的优势。不幸的是,空间环境对于高功率激光器来说是一个具有挑战性的环境,这将使许多激光雷达任务成为可能。光学支架必须在发射期间和发射后保持精确对准。真空空间中的放气物质会对激光光学系统造成污染。电子元件和光学材料必须在空间环境中生存,包括真空大气、热循环和辐射暴露。激光设计必须轻巧、紧凑和节能。许多激光雷达应用需要的频率转换系统从未被设计或测试过用于太空。在过去的七八年里,美国国家航空航天局(NASA)已经开展了一项专门针对解决星载激光器面临的耐用性和长期可靠性问题的计划(激光风险降低计划- lrrp)。
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One micron laser technology advancements at GSFC Progress in the validation of dual-wavelength aerosol retrieval models via airborne high spectral resolution lidar data The microasar experiment on CASIE-09 A method to estimate Snow Water Equivalent using multi-angle X-band radar observations Detection and correction of spectral and spatial misregistrations for hyperspectral data
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