摘要
大气CO2是重要的温室气体,CO2浓度及其空间分布是全球气候变化评估中的主要不确定性因素之一。从1998年以来,卫星遥感大气CO2成为获取全球CO2的重要手段。本文阐述了现阶段大气CO2浓度卫星遥感反演进展情况,包括CO2探测载荷、反演算法和算法验证等。同时,论文详细介绍了近红外波段和热红外波段的反演算法特点和不确定因素,并针对CO2反演应用需求提出了展望。
Atmospheric carbon dioxide （CO2 ） is a primary greenhouse gas, whose concentration and geographic distribution are the key points in global change research. Since 1998, space-based observation has been an important technique for the remote sensing of CO2 concentration. We present an overview of the advances in space-based remote sensing of CO2, including the development of remote sensors and inverse algorithms, as well as the calibration of retrieved results. We analyze the uncertainties in inverse methods from observations of both thermal infrared and shortwave infrared techniques. The potential development of CO2 retrieval is discussed at the end of this paper.
出处
《遥感学报》
EI
CSCD
北大核心
2015年第1期1-11,共11页
NATIONAL REMOTE SENSING BULLETIN
基金
国家自然科学基金(编号:41130528)
中国科学院战略性先导科技专项(XDA05040204)
关键词
CO2
卫星遥感
热红外高光谱
近红外高光谱
最优化算法
CO2, satellite remote sensing, thermal infrared hyperspectral, shortwave infrared hypersPectral, optimal estimationmethod
