Research progress of spaceborne passive remote sensing detection payload of greenhouse gases
- Vol. 27, Issue 4, Pages: 857-870(2023)
DOI： 10.11834/jrs.20211149
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摘要
应对CO,2,和CH,4,等温室气体含量增加导致的全球气候变暖问题，促进碳减排已成为全球共识。建立完善的碳监测体系，利用星载平台进行被动遥感探测是当前温室气体观测的主要手段之一。本文以在轨成功应用的星载被动遥感探测载荷3种技术体制为基线，介绍了有效载荷的仪器指标，分析比较了各种技术的优缺点，结合未来温室气体探测计划，总结了温室气体星载被动遥感探测的发展趋势。将高分五号卫星大气主要温室气体监测仪在轨表现与新型干涉成像光谱技术相结合，分析其在高光谱分辨、高信噪比基础上进一步实现高空间分辨率的可行性，为研制具有实时动态、不同细分程度区域的碳监测能力的下一代温室气体载荷提供可能。
Abstract
A global consensus has been made to promote carbon emission reduction in response to global warming caused by the increase of greenhouse gases, such as CO,2, and CH,4,. Spaceborne observation has the characteristics of large observation space and continuous observation time, which are among the main means of observing greenhouse gases at present. The establishment of a sound carbon monitoring system and spaceborne passive remote sensing of major greenhouse gases in the atmosphere will help to evaluate the impact of the greenhouse effect and guide human greenhouse gas emission activities, which is of great significance to human society.,Active satellite-borne remote sensing of greenhouse gases become successful through proper planning. Among the spaceborne passive remote sensing payloads of greenhouse gases successfully applied in orbit, three technical systems are mainly included: Michelson interference spectroscopy represented by GOSAT (Greenhouse gases Observing SATellite) and GAS (Greenhouse gases Absorption Spectrometer); grating spectroscopy represented by OCO (Orbiting Carbon Observatory) and ACGS; and spatial heterodyne interference spectroscopy represented by GMI (Greenhouse gases Monitoring Instrument). This study focuses on the analysis of these three typical technology systems and compares the advantages and disadvantages of different detection technologies. At the same time, comprehensive satellite payloads for the detection of greenhouse gases include IMG (Interferometric Monitor for Greenhouse gases), SCIAMACHY (SCanning Imaging Absorption SpectroMeter CHartographY), AIRS (Atmospheric Infrared Sounder), ACE-FTS (Atmospheric Chemistry Experiment Fourier Transform Spectrometer), IASI (Infrared Atmospheric Sounding Instrument), and CrIS (Cross-track Infrared Sounder). Moreover, projects for the spaceborne passive remote sensing of greenhouse gases that include GeoCarb (Geostationary Carbon Observatory) and Copernicus CO,2, Monitoring Mission are introduced.,To meet the needs of the next generation of spaceborne remote sensing of greenhouse gases, combined with the in-orbit performance of the GMI on GF-5 and the research progress of the new spatial heterodyne interference imaging spectroscopy technology, the feasibility of further achieving high spatial resolution on the basis of hyperspectral resolution and high signal-to-noise ratio is analyzed. This study proposes a payload technology scheme with high timeliness and regional carbon monitoring capability of different subdivisions, which will provide a technical basis for the development of the next generation of detection payload for greenhouse gases.,Reviewing the development process of technologies for the spaceborne detection of greenhouse gases, six development trends of spaceborne passive remote sensing payloads of greenhouse gases are summarized: (1) specialization of detection load; (2) improvement of detection sensitivity; (3) wide width and high spatial resolution; (4) integration of multiple observation modes; (5) systematization of high/medium/ow orbit monitoring; (6) miniaturization of detection load.
关键词
温室气体被动遥感碳监测卫星载荷干涉成像光谱技术
Keywords
greenhouse gasespassive remote sensingcarbon monitoringsatellite payloadinterference imaging spectroscopy
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Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences
Hefei Institutes of Physical Science, Chinese Academy of Sciences
College of Resources and Environment, University of Chinese Academy of Sciences
Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University
School of Environment and Spatial Informatics, China University of Mining and Technology
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