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Construction of ocean color remote sensing data processing system based on open source code： Taking HY-1C/D as an example

  • role： First author第一作者
  • Affiliation：

    College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China

  • Email：dswang@xmu.edu.cn
  • Introduction：王道生，研究方向为水色卫星地面处理系统集成、大气校正。E-mail：dswang@xmu.edu.cn
WANG Daosheng1,  
  • Affiliation：

    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

DU Keping2,  
  • Affiliation：

    College of Marine Technology, Ocean University of China, Qingdao 266100, China

    Sanya Oceanographic Institution, Ocean University of China, Sanya 572024, China

    National Satellite Ocean Application Service, Ministry of Natural Resources of the People’s Republic of China, Beijing 100081, China

CHEN Shuguo345,  
  • Affiliation：

    College of Marine Technology, Ocean University of China, Qingdao 266100, China

XUE Cheng3,  
  • Affiliation：

    National Satellite Ocean Application Service, Ministry of Natural Resources of the People’s Republic of China, Beijing 100081, China

YE Xiaomin5,  
  • Affiliation：

    School for the Environment, University of Massachusetts, Boston, MA 02125, United States

LEE Zhongping6

Resümee

China has specifically planned a series of ocean observation satellites in the Medium and Long-term Development Plan for National Civil Space Infrastructure (2015—2025) to establish a more complete three-dimensional monitoring system for the marine environment through a network from a single test satellite to a constellation. Satellite observations place high demands on the degree of quantification of ocean satellite ground data processing systems due to the influence of the atmosphere and the typically low contribution of ocean parameters at the top of the atmosphere. Since the launch of CZCS water color satellite in 1970 s, the United States has accumulated many years of experience in water color satellite data processing system. In this paper, we develop HY-1C/1D offline data processing system (OffLine-COCPS), which realizes the whole chain from L1B data (after geometric positioning and radiometric calibration) to the production of remote sensing reflection ratio of water bodies and various water color products for HY-1C/1D Chinese Ocean Color and Temperature Scanner (COCTS).Based on NASA's mature open-source SeaDAS Ocean Color Science SoftWare package and HY-1C/1D COCTS format, we develop and recompile the software package to support COCTS L1B data. Using a vector sea-air coupled radiative transfer model developed based on the successive scattering method, HY-1C/1D COCTS specific atmospheric related lookup table are generated.The results show that the independently established HY-1C/1D satellite COCTS sensor atmospheric correction related lookup table basically meets the quantitative application on a global scale. The global inversion chlorophyll products of HY-1C/1D COCTS are obtained based on statistical projection, indicating that the system can realize support for HY-1C/1D dual-satellite missions, and then the overall distribution trend is also consistent with MODIS when compared with the official MODIS chlorophyll product scatter plot released by NASA for the same period. Through this study, the extension of the domestic water color satellite sensor and the independent inversion algorithm has been successfully realized, and the atmospheric correction algorithm and other water color inversion algorithms can be extended subsequently, while more work is needed to evaluate the accuracy of atmospheric correction and the accuracy of water color inversion products.

Schlüsselwort

ocean remote sensing;water color satellite;HY-1C/1D;processing system;SeaDAS

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