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Dynamic detection of ocean glint from near-infrared polarized radiation satellite data

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

    University of Science and Technology of China, Hefei 230026, China

    Kunming University Institute of Information Technology, Kunming 650214, China

  • Email：cztgis@qq.com
  • Introduction：陈震霆，1979年生，男，博士研究生，研究领域为卫星偏振遥感、云偏振特性研究。E-mail：cztgis@qq.com
Zhenting CHEN123,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

  • Email：xbsun@aiofm.ac.cn
  • Introduction：孙晓兵，1966年生，男，研究员，研究领域为大气偏振遥感、地物偏振特性研究。E-mail：xbsun@aiofm.ac.cn
Xiaobing SUN1*,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

    University of Science and Technology of China, Hefei 230026, China

Junfeng WANG12,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

    University of Science and Technology of China, Hefei 230026, China

Shu LI12,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

Honglian HUANG1,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

    University of Science and Technology of China, Hefei 230026, China

    Electronic Engineering Institute, Hefei 230037, China

Wei CHEN124,  
  • Affiliation：

    Key Laboratory of Optical Calibration and Characterization, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei 230031, China

Yanli QIAO1

résumé

Sunlight incoming sea surface forms ocean glint (OG) in a special area and shows strong reflection and polarization characteristics. OG significantly influences the imaging quality of ocean remote sensing, especially because the interference is large for clouds and aerosols above the ocean surface. Therefore, eliminating OG is the key problem to be solved in the process of remote sensing data. At present, most OG detections of sensors are utilized by a rough sea surface polarization model combined with an empirical threshold. Orbit height and resolution is different from various sensors available. Thus, the result is quite inaccurate using the same threshold to discriminate glint pixels, thereby resulting in several pixels being utilized ineffectively. The Chinese GF-5 satellite has been scheduled for launch in 2017. It carries a Directional Polarimetric Camera (DPC) sensor for the atmospheric polarization research at a global scale. Similarly, the OG detection is essential to DPC data processing. The traditional method cannot achieve the dynamic detection of OG for different satellite data. Thus, the problem of accurately obtaining a threshold angle has become the key difficulty of OG dynamic detecting research. OG dynamic detecting (OGDD) method was proposed on the basis of near-infrared (NIR) polarized data, which were not easily affected by atmospheric disturbance under a clear sky. From these data, several parameters, such as the geometry conditions of solar and observation and sea surface wind speed and direction, could be obtained. According to ocean–atmosphere coupled radiative transfer theory, the OGDD model, combined with the OG and multi-directional NIR-polarized radiation information (865 nm), was developed on the basis of the regular performance of the NIR-polarized radiation characteristic. The OGDD was realized by obtaining the dynamic threshold of a glint angle. A calibration layer was selected by using the polarized characteristic tendency of an OG center from detecting layers, and after cloudy pixels have been removed, a slope dynamic analysis was conducted on the basis of an OG-polarized radiative regular variety on top of the atmosphere. Finally, the ocean pixels were marked as glint pixels using the dynamic threshold of the glint angle. This study used PARASOL/POLDER3 satellite data as the research object for the DPC simulation and selected the Indian Ocean as the study area. The NIR channel utilized the OGDD model to acquire apparent and polarization reflectivity (865 nm) of the sea surface. The glint threshold was adjusted dynamically to 34° using the OGDD model. In comparison with MODIS 40°, the glint angle was reduced by approximately 15%, and the pixel-marked glint was relatively decreased by 30%. Similarly, in comparison with POLDER3 30°, the glint angle was relatively improved by nearly 13%, and the pixel-marked glint was increased by 30%. The model can effectively distinguish the glint and non-glint pixels through a dynamically adjusted threshold and significantly improve the utilization rate of the pixels by reducing the interference of aerosol retrieval at the clear sky area. Furthermore, this model can generate reliable data for cloud detection and microphysical characteristic retrieval and provide support to developing the in-flight calibration and aerosol inversion of the GF-5 satellite multi-angle polarization sensor.

mots-clés

PARASOL;ocean-atmosphere coupled radiation;ocean glint;radiation information;polarized reflectance;Ocean Glint Dynamic Detecting;GF-5;polarization remote sensing

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