• Journal of Atmospheric and Environmental Optics
  • Vol. 19, Issue 2, 125 (2024)
MA Yu1,2,3,*, ZHANG Wenhao1,2,3, ZHANG Lili4,5, WU Yu6..., TANG Jianxiong1,2,3 and FU Yashuai1,2,3|Show fewer author(s)
Author Affiliations
  • 1School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering,Langfang 065000, China
  • 2Heibei Space Remote Sensing Information Processing and Application of Collaborative Innovation Center,Langfang 065000, China
  • 3Institute of Remote Sensing Applications North China Institute of Aerospace Engineering, Langfang 065000, China
  • 4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 5Zhongke Langfang Institute of Spatial Information Applications, Langfang 065001, China
  • 6School of Earth System Science, Tianjin University, Tianjin 300072, China
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    DOI: 10.3969/j.issn.1673-6141.2024.02.001 Cite this Article
    Yu MA, Wenhao ZHANG, Lili ZHANG, Yu WU, Jianxiong TANG, Yashuai FU. Research progress of atmospheric remote sensing based on satellite nighttime low-light data[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(2): 125 Copy Citation Text show less

    Abstract

    With the launch of a series of nighttime low-light remote sensing satellites, such as Defense Meteology Satellite Program (DMSP) and Suomi National Polar-orbiting Partnership (Suomi NPP), the application of low-light data in quantitative remote sensing has received increasing attention from researcher. However, there is still a lack of research summaries in the field of atmospheric remote sensing based on night-light data. Therefore, a comprehensive review of atmospheric remote sensing research based on nighttime low-light data in the past 20 years is presented. The progress of nighttime low-light atmospheric remote sensing research is summarized from three aspects: radiometric calibration low-light imager of low-light radiation transfer model and atmospheric parameters research based on low-light data. The application status and characteristics of low light data in atmospheric remote sensing research are also reviewed in this paper, which will provide a valuable reference for future in-depth application of night low-light data in atmospheric remote sensing.
    Yu MA, Wenhao ZHANG, Lili ZHANG, Yu WU, Jianxiong TANG, Yashuai FU. Research progress of atmospheric remote sensing based on satellite nighttime low-light data[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(2): 125
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