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Hyperspectral systems' role in understanding the composition of atmospheric air pollution

机译:高光谱系统在理解大气空气污染组成中的作用

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A wide variety of hyper-spectral (HS) sensors and collection platforms are in existence. This paper investigates hyper-spectral imaging systems (HIS) worldwide in order to address issues associated with the better both airborne and space based systems are included in the review. Examples of the sensors include ENVISAT, SCIAMACHY, TERRA, AQUA, MOPITT, MIPAS, AVIRIS, LIDAR, Landsat 7 and others. Applications include geo-environmental studies, aerosol release, materials identification, agricultural studies, atmospheric studies, and many others. Two case studies are presented that address the evaluation of African smog and its effect on the African ecosystem and the evaluation of aerosol pollution in the northeastern region of the United states with particular attention to particulate matter.
机译:各种各样的超光谱(HS)传感器和集合平台都存在。本文调查了全球范围内的超光谱成像系统(他),以解决与更好的空中和基于空间系统相关的问题,包括在审查中。传感器的例子包括Envisat,Sciamachy,Terra,Aqua,Mopitt,MIPA,Aviris,Lidar,Landsat 7等。应用包括地质环境研究,气溶胶释放,材料鉴定,农业研究,大气研究以及许多其他人。提出了两个案例研究,解决了非洲烟雾的评价及其对非洲生态系统的影响以及美国东北地区的气雾污染,特别注意颗粒物质。

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