• Infrared and Laser Engineering
  • Vol. 50, Issue 12, 20210080 (2021)
Lei Yang1, Dingfeng Yu1、2、*, Hao Gao1, Xiaodong Bian1, Xiaoyan Liu1, Yingying Gai1, Deyu An1, Yan Zhou1, and Shilin Tang2
Author Affiliations
  • 1National Engineering and Technological Research Center of Marine Monitoring Equipment, Shandong Provincial Key Laboratory of Marine Monitoring Instrument Equipment Technology, Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China
  • 2State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
  • show less
    DOI: 10.3788/IRLA20210080 Cite this Article
    Lei Yang, Dingfeng Yu, Hao Gao, Xiaodong Bian, Xiaoyan Liu, Yingying Gai, Deyu An, Yan Zhou, Shilin Tang. Remote sensing retrieval of secchi disk depth in Jiaozhou Bay using Sentinel-2 MSI image[J]. Infrared and Laser Engineering, 2021, 50(12): 20210080 Copy Citation Text show less

    Abstract

    In view of the current situation that the existing research of retrieval of secchi disk depth (SDD) was mostly based on lower resolution satellite data, the retrieval of secchi disk depth had been carried out using Sentinel-2 MSI image with a resolution of up to 10 m in Jiaozhou Bay. A retrieval model based on measured data was constructed. The results show that the retrieval model has high accuracy. The average relative error between the inversion value and the measured value is 9.86%, and the root mean square error is 0.22 m. Based on the constructed retrieval model and Sentinel-2 MSI image, the SDD in Jiaozhou Bay was inverted, the SDD distribution map was drawn, and the spatial distribution and local subtle change characteristics of the SDD in Jiaozhou Bay were analyzed. The study found that the SDD of Jiaozhou Bay showed a trend of gradually increasing from the coast to the sea. Rivers with large runoff caused changes that significantly reduce the SDD near the mouth of the river. The tide caused the texture change characteristics of SDD to appear along the direction perpendicular to the shore. The navigation of large vessels caused a short-term decrease of SDD.
    Lei Yang, Dingfeng Yu, Hao Gao, Xiaodong Bian, Xiaoyan Liu, Yingying Gai, Deyu An, Yan Zhou, Shilin Tang. Remote sensing retrieval of secchi disk depth in Jiaozhou Bay using Sentinel-2 MSI image[J]. Infrared and Laser Engineering, 2021, 50(12): 20210080
    Download Citation