中国空间科学技术

中国空间科学技术 ›› 2023, Vol. 43 ›› Issue (6): 125-134.doi: 10.16708/j.cnki.1000-758X.2023.0091

• 陆地生态系统碳监测卫星专栏 • 上一篇    下一篇

陆地生态系统碳监测卫星多角度偏振成像仪细粒子气溶胶反演

谢一凇，范兰兰，李正强，洪津，林军，郑杨，董鉴韬，伽丽丽，马䶮，张罗，王羿，涂碧海，朱梦瑶   

  1. 1 中国科学院 空天信息创新研究院 国家环境保护卫星遥感重点实验室，北京100094
    2 中国资源卫星应用中心，北京100094
    3 中国科学院 合肥物质科学研究院，合肥230031
    4 中国科学院 通用光学定标与表征技术重点实验室，合肥230031
    5 吉林大学 地球探测科学与技术学院，长春130026
  • 出版日期:2023-12-25 发布日期:2023-12-12

Retrieval of fine-mode aerosol based on Directional Polarimetric Camera onboard Terrestrial Ecosystem Carbon Inventory Satellite

XIE Yisong，FAN Lanlan，LI Zhengqiang，HONG Jin，LIN Jun，ZHENG Yang，DONG Jiantao，QIE Lili，MA Yan，ZHANG Luo，WANG Yi，TU Bihai，ZHU Mengyao   

  1. 1 State Environmental Protection Key Laboratory of Satellite Remote Sensing，Aerospace Information Research 
    Institute，Chinese Academy of Sciences，Beijing 100094，China
    2 China Centre for Resources Satellite Data and Application，Beijing 100094，China
    3 Hefei Institutes of Physical Science，Chinese Academy of Sciences，Hefei 230031，China
    4 Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences，Hefei 230031，China
    5 College of Geoexploration Science and Technology，Jilin University，Changchun 130026，China
  • Published:2023-12-25 Online:2023-12-12

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摘要： 细粒子气溶胶光学厚度是大气环境监测、气候变化评估所需的关键参数。对2022年8月发射的陆地生态系统碳监测卫星（CM-1）上搭载的多角度偏振成像仪（DPC）进行了较为系统的介绍。DPC/CM1的主要改进是星下点空间分辨率从3.3km提升到2.4km。针对DPC/CM-1载荷及数据特点，发展了基于偏振与光谱特征和空间纹理特征的云检测方法，同时耦合了多角度信息实现较严格的云像元判识。该方法对于沙漠、植被、丘陵，以及海表耀光及非耀光区域等不同下垫面，均有较好的检测效果。发展了基于改进气溶胶模型的细粒子气溶胶光学厚度（FAOD）反演算法，利用全球地基气溶胶观测网（AERONET）数据对FAOD反演结果进行了验证，拟合直线斜率达到0.95以上，且有接近73%的数据分布于期望误差以内，说明了反演算法的可靠性。FAOD反演结果清晰显示出全球FAOD空间分布特征，其中，印度、非洲中部等地区受人口分布、工/农业排放、生物质燃烧等影响，FAOD高值达到0.7~0.9。DPC/CM-1在轨测试期间的初步反演结果表明其在大气环境监测、污染传输分析等方面的潜力，能够提供更精细尺度的大气参数反演结果。

关键词: 陆地生态系统碳监测卫星, 多角度偏振成像仪, 卫星遥感, 细粒子气溶胶光学厚度, 云检测, 在轨测试

Abstract:

Fine-mode aerosol optical depth is a key parameter required for atmospheric environment monitoring and climate change assessment.Directional Polarimetric Camera（DPC） onboard the Terrestrial Ecosystem Carbon Inventory Satellite（CM-1）launched in August 2022 was systematically introduced.A major improvement of DPC/CM-1 over other DPC sensors is that the nadir spatial resolution increased from 3.3km to 2.4km.According to the sensor and data characteristics of DPC/CM-1，a cloud detection method based on polarimetric and spectral/spatial texture characteristics was developed，and the multi-angle observation was coupled to achieve strict cloud pixel identification.The results of DPC/CM-1 cloud detection show that this method has good detection effect for bright surface such as desert areas，dark surface such as vegetation and hill areas，and the sun-glint and non-sun-glint areas over ocean.An improved fine-mode aerosol optical depth（FAOD）retrieval algorithm was developed.The FAOD retrievals were verified by the data of Aerosol Robotic Network.The validation results show that the slope of the fitted line reaches more than 0.95，and nearly 73% of the observed data are distributed within the expected error，indicating the reliability of the retrieval algorithm.The retrieval results of FAOD clearly show the spatial distribution characteristics of global FAOD.The high FAOD regions（reaching 0.7 to 0.9）mainly include India and Central Africa，where the high fine particle aerosol contents are probably due to the dense population distribution，strong industrial/agricultural emissions and biomass combustion.The preliminary retrieval results of DPC/CM1 during the in-orbit test phase show its potential for atmospheric environment monitoring and pollution transport analysis，especially when combined with its high spatial resolution，providing fine-scale atmospheric parameter retrieval results.

Key words: Terrestrial Ecosystem Carbon Inventory Satellite, Directional Polarimetric Camera, satellite remote sensing, fine-mode aerosol optical depth, cloud detection, in-orbit test