globalchange  > 气候变化与战略
CSCD记录号: CSCD:5331340
论文题名:
大气CO_2浓度卫星遥感进展
其他题名: Overview of atmospheric CO_2 remote sensing from space
作者: 陈良富1; 张莹1; 邹铭敏1; 徐谦2; 李令军2; 李小英1; 陶金花1
刊名: 遥感学报
ISSN: 1007-4619
出版年: 2015
卷: 19, 期:1, 页码:17-21
语种: 中文
中文关键词: 卫星遥感 ; 热红外高光谱 ; 近红外高光谱 ; 最优化算法
英文关键词: CO_2 ; CO_2 ; satellite remote sensing ; thermal infrared hyperspectral ; shortwave infrared hyperspectral ; optimal estimation method
WOS学科分类: METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向: Meteorology & Atmospheric Sciences
中文摘要: 大气CO_2是重要的温室气体,CO_2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CO_2成为获取全球CO_2的重要手段。本文阐述了现阶段大气CO_2浓度卫星遥感反演进展情况,包括CO_2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CO_2反演应用需求提出了展望。
英文摘要: Atmospheric carbon dioxide (CO_2) 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 CO_2 concentration. We present an overview of the advances in space-based remote sensing of CO_2,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 CO_2 retrieval is discussed at the end of this paper.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/150079
Appears in Collections:气候变化与战略

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作者单位: 1.中国科学院遥感与数字地球研究所, 遥感科学国家重点实验室, 北京 100101, 中国
2.北京市环境保护监测中心, 北京 100048, 中国

Recommended Citation:
陈良富,张莹,邹铭敏,等. 大气CO_2浓度卫星遥感进展[J]. 遥感学报,2015-01-01,19(1):17-21
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