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Cloud detection algorithm based on GF-5 DPC data

  • role： First author第一作者
  • Affiliation：

    College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot 010022, China

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

  • Email：20174014016@mails.imnu.edu.cn
  • Introduction：伟乐斯，1996年生，男，硕士研究生，研究方向为卫星云参数反演。E-mail：20174014016@mails.imnu.edu.cn
WEI Lesi12,  
  • Affiliation：

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

SHANG Huazhe2,  
  • role： Corresponding author通信作者
  • Affiliation：

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

  • Email：husiletu@radi.ac.cn
  • Introduction：胡斯勒图，1976年生，男，研究员，研究方向为冰晶粒子的光散射计算与云微物理过程。E-mail： husiletu@radi.ac.cn
HUSI Letu2*,  
  • Affiliation：

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

MA Run2,  
  • Affiliation：

    College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot 010022, China

HU Dahai1,  
  • Affiliation：

    College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot 010022, China

CHAO Kefu1,  
  • Affiliation：

    Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China

SI Fuqi4,  
  • Affiliation：

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

SHI Jiancheng2

Resümee

Clouds cover 50 to 70 percent of the earth’s surface and are an important factor in the balance of atmospheric radiation and climate change. The Directional Polarimetric Camera (DPC) carried by the GaoFen-5 satellite can continuously observe the earth in multiple bands, multiple angles, and high spatial resolution. Its data are useful for studying global atmospheric cloud distribution, and cloud radiation feedback provides a new perspective.This study uses the French multiangle polarization load polarization and directionality of the earth’s reflectance (POLDER) cloud recognition algorithm as a reference, and combines DPC multiband reflectivity, polarization reflectivity, apparent pressure, and other information to develop a cloud detection algorithm suitable for DPC. The algorithm is mainly divided into three parts. First, the threshold method is used to detect cloud pixels, and the apparent pressure is introduced to further restrict the conditions of clouds (such as cirrus and stratocumulus) at different heights. Then, the 865 nm band polarization reflectance is used to identify the solar flare area reflected by the sea surface, and the solar flare interference is amended when the reflectance threshold is used to identify cloud pixels.The MOD06 cloud mask product of MODIS on October 1, 2018 was compared with the results of the proposed cloud recognition algorithm to verify the accuracy of the algorithm. The cloud recognition results were in good agreement with the MOD06 products. The CALIPSO-VFM data from October 01 to 04, 2018, the cloud detection results, and the MYDO6 cloud mask product were selected to calculate the cloud/clear pixels hit rate and false alarm rate to further quantitatively verify the accuracy of the cloud detection algorithm.The calculation results show that the average cloud hit rate of the algorithm is 13.501% higher than that of the MYD06 cloud mask product. The cloud error prediction rate is only 3.561% higher than that of the MYD06 cloud mask products, thereby indicating cloud detection effect. The proposed cloud detection algorithm can provide important data support for subsequent DPC research on cloud parameters, water vapor, and aerosols.

Schlüsselwort

atmospheric remote sensing;cloud detection;apparent pressure;multi-angular polarization;GF-5;DPC

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