星载高光谱红外传感器反演大气痕量气体综述

利用遥感监测全球尺度上的痕量气体分布以及动态变化,对于理解对流层大气化学以及温室气体的源与汇具有重要的意义。本文首先介绍了国内外用于痕量气体探测的高光谱红外传感器的发展,由辐射传输方程出发分析了大气痕量气体遥感反演的特点,从前向模型、先验知识和最小化代价函数方案三个方面阐述了大气痕量气体遥感反演方案,最后指出了目前利用星载高光谱红外遥感数据反演大气痕量气体存在的一些问题以及可能的解决方案。

Review of Trace Gases Inversion Utilizing Space-borne Hyperspectral Infrared Remote Sensor Data

Remote sensing plays an important role in understanding the tropospheric atmospheric chemistry and the source and sink of green house gases for its ability of monitoring the distributions of trace gases and their dynamic change in global scale.The paper first introduces the development of space-borne hyperspectral infrared sensors in the world,then analyses the characteristics of atmospheric trace gases inversion based on the atmospheric radiative transfer.The paper also expounds atmospheric trace gases inversion scheme from three aspects:the forward model,a prior,and minimization of cost function.At last,the authors point out the problems existed in the inversion of trace gases with space-borne hyperspectral infrared remote sensing data,as well as possible settle schemes.