предыдущий|следующий

Review of cloud polarimetric remote sensing

  • role： First author第一作者
  • Affiliation：

    College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China

    Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China

  • Email：wangyuyao@ahnu.edu.cn
  • Introduction：王宇瑶，研究方向为大气偏振遥感、云偏振特性。E-mail： wangyuyao@ahnu.edu.cn
WANG Yuyao14,  
  • role： Corresponding author通信作者
  • Affiliation：

    College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China

    Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China

  • Email：jinjima@ahnu.edu.cn
  • Introduction：麻金继，研究方向为环境参量遥感。E-mail： jinjima@ahnu.edu.cn
MA Jinji14*,  
  • Affiliation：

    College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China

    Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241003, China

LI Jinghan14,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

HONG Jin2,  
  • Affiliation：

    State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

LI Zhengqiang3

реферат

Clouds are collections of water droplets or ice crystal colloids suspended in the atmosphere. They are a visible manifestation of the Earth’s massive water cycle, which play an important role in global climate. Since the radiation intensity signal cannot accurately detect the internal physical characteristics of thick clouds, especially convective clouds, high-quality cloud observations cannot be achieved only by using this signal. Polarimetric remote sensing can describe the spectral characteristics of intensity, directions, phase positions, and polarization states of light， so as to expand the volumes and dimensions of the information observed. It can detect the size, shape, and other microphysical parameters, showing unique application advantages in cloud remote sensing.A wealth of literature on the development of polarimetric sensors can be found, for example, POLDER launched by France, ASP designed by the United States, and DPC developed by China. This paper summarizes the characteristics of internationally developed landmark polarimetric sensors and introduces the polarimetric sensor that will be launched soon. It is found that the development of polarimetric sensors underwent three main periods. During the first period, polarimetric sensors had low spatial resolution, fewer polarization spectrums, fewer angles, and low polarimetric accuracy. During the second period, the four elements mentioned above have been improved. In the third period, the sensors were developed into products with high spatial resolution, more polarization spectrum, large angles, and high polarimetric accuracy. The accessible spatial resolution, polarization data, and polarimetric accuracy were all greatly improved.In addition, this paper discusses the research on polarization data of cloud detection, physical characteristics, and optical characteristics of clouds. Starting from a series of problems existing in traditional remote sensing observation methods in cloud research, including poor cloud detection of accuracy, physical and optical characteristics, etc., the advantages of polarization detection are revealed through a detailed introduction to the classical polarization cloud parameter algorithms. Moreover, the development history of cloud polarimetric remote sensing research and the critical role played by the application of polarization data in cloud-related studies are explored.By reviewing the development of polarimetric sensors and the evolution of cloud remote sensing algorithms in the past three decades, we found that the polarimetric accuracy, and spatial and time resolution were improved as the number of polarimetric sensors increased. However, the acquired polarimetric signal is increasingly complex. Therefore, when designing the algorithm of cloud remote sensing, the factors we should consider will be fewer. In contrast, the algorithm will be more rigorous, and the inversion accuracy of cloud parameters will be higher. Considering that with the accumulation of experience and the development of instruments, it is believed that the polarization data will make significant progress in optimizing cloud parameters.

ключеви́че слова́

atmospheric remote sensing;polarization;POLDER;APS;DPC;cloud;vector radiative transfer;inversion algorithm

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