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Validation of L2A operational products of COCTS onboard HY-1C satellite across coastal waters in China and Europe

  • role： First author第一作者
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

  • Email：hotrice@sina.com
  • Introduction：韩冰，研究方向为海洋遥感机理与算法、遥感应用及定标检验技术。E-mail： hotrice@sina.com
HAN Bing1,  
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

JIA Di1,  
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

GAO Fei1,  
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

GUO Kai1,  
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

ZHU Jianhua1,  
  • Affiliation：

    National Ocean Technology Center, Ministry of Natural Resources, Tianjin 300112, China

LI Tongji1,  
  • Affiliation：

    National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100086, China

MA Chaofei2,  
  • Affiliation：

    National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100086, China

LIU Jiangqiang2,  
  • Affiliation：

    Institute of Environment and Sustainability, Joint Research Center, Ispra 21027, Italy

GIUSEPPE Zibordi3

resumen

Since the successful launch of HY-1C in September, 2018, China has entered a new era of operational global ocean color remote sensing. As one of its three major payloads, the Chinese Ocean Color and Temperature Scanner (COCTS) measures the radiances scattered from the atmosphere, ocean and sea surface in eight visible and near-infrared bands and two thermal infrared bands across a swath of over 2500 km. As many businesses such as marine environment observation, marine ecological monitoring and marine disaster prevention and mitigation are putting higher demands on quantitative ocean color products, we here validate operational L2A products retrieved from COCTS data across coastal waters across China and Europe, and also compare them with widely accepted L2 products of MODIS onboard AQUA satellite. Validation practice uses in-situ data obtained in field campaigns in the East and South China Sea in 2018 and 2020, and those derived by automated sun-photometers (SeaPRISM, CIMEL Inc.) deployed in the East China Sea and in the Adriatic Sea in Europe. Confined by that SeaPRISM can only produces remote-sensing reflectance and aerosol optical thickness directly, we only validate operational L2A products provided by COCTS, which include Remote Sensing Reflectance and Aerosol Optical Thickness. Match-up practice follows those protocols widely accepted in the ocean color community. It is found that SeaPRISM can provide in-situ data in a more efficient way and the data covers a larger temporal range, which facilitates characterizing temporal and spatial uncertainty of ocean color products. Validation results show that both remote-sensing reflectance and aerosol optical products of COCTS L2A products agree well with in-situ measurements, but their comparison shows larger deviation. The average relative percentage difference (RPD) between COCTS L2A product and field measurement across various coastal waters are -5.6%, 11.8% and 101.4% in blue, green and red bands respectively, while the average Absolute Percentage Ddifference (APD) are 46.8%, 53.0% and 173.9% respectively. Meanwhile, for aerosol optical thickness, the average RPD and APD between COCTS L2A product and field measurement across these waters are -14.2% and 79.5%, respectively. Remote sensing reflectance of COCTS shows similar spectral shape to that of in-situ data, but their similarity varies across different waters. Specially, remote sensing reflectance in the South China Sea demonstrates similar spectral shape but shows large overestimation; high spectral shape similarity exists in the East China Sea but COCTS gives underestimation; there appears large deviation in spectral shape in the Adriatic Sea, namely, overestimation in blue but underestimation in the blue and red. As compared with the validation results of MODIS L2 products following same criteria, it is found that MODIS performs better than COCTS in quantitative retrieval of remote-sensing reflectance, but shows no obvious advantage in quantitative retrieval of aerosol optical thickness. Although HY-1C COCTS operational products have contributed to wide range of applications, this practice suggests there is still great space in improving quantitative retrieval of ocean color products, at least L2A products.

palabra clave

HY-1C Satellite;COCTS;L2A product;validation;coastal waters around China;coastal waters around Europe;remote-sensing reflectance;aerosol optical thickness

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