| 大气CO2浓度卫星遥感进展 |
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| 引用本文： | 陈良富,张莹,邹铭敏,徐谦,李令军,李小英,陶金花.大气CO2浓度卫星遥感进展[J].遥感学报,2015,19(1):1-11. |
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| 作者姓名： | 陈良富 张莹 邹铭敏 徐谦 李令军 李小英 陶金花 |
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| 作者单位： | 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;北京市环境保护监测中心, 北京 100048;北京市环境保护监测中心, 北京 100048;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 |
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| 基金项目： | 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) |
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| 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。
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| 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 |
| 收稿时间： | 2013/12/10 0:00:00 |
| 修稿时间： | 2014/6/19 0:00:00 |
Overview of atmospheric CO2 remote sensing from space |
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| CHEN Liangfu,ZHANG Ying,ZOU Mingmin,XU Qian,LI Lingjun,LI Xiaoying and TAO Jinhua.Overview of atmospheric CO2 remote sensing from space[J].Journal of Remote Sensing,2015,19(1):1-11. |
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| Authors: | CHEN Liangfu ZHANG Ying ZOU Mingmin XU Qian LI Lingjun LI Xiaoying and TAO Jinhua |
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| Institution: | The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China;The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China;The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China;Beijing Municipal Environmental Protection Monitoring Center, Beijing 100048, China;Beijing Municipal Environmental Protection Monitoring Center, Beijing 100048, China;The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China;The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China |
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| Abstract: | 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. |
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| Keywords: | CO2 satellite remote sensing thermal infrared hyperspectral shortwave infrared hyperspectral optimal estimation method |
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