Remote Sensing Technology and Application, Volume. 39, Issue 4, 952(2024)

Evaluating the Detection Efficiency of MODIS Data for Low-density Green Tides in the Yellow Sea

Liu YANG, Mingxiu WANG, Xiaobo ZHU, Jun TANG, Jianqiang LIU, Jing DING, Qianguo XING, Manchun LI, and Yingcheng LU
Author Affiliations
  • International Institute for Earth System Science, Nanjing University, Nanjing210023, China
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    Figures & Tables(7)
    Quasi-synchronous image of floating Ulva prolifera macroalgae on 8 June 2019
    Quasi-synchronous MSI and MODIS standard false color images covering the Yellow Sea
    Optical extraction of floating algae in the Yellow Sea
    APR image with 250 m resolution simulated by MSI
    Statistics of MODIS detection results based on two pairs of quasi-synchronous images.
    Spatial distribution characteristics of low-aggregation green tide
    The uncertainty of MODIS data on the quantitative assessment of green tide
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    Liu YANG, Mingxiu WANG, Xiaobo ZHU, Jun TANG, Jianqiang LIU, Jing DING, Qianguo XING, Manchun LI, Yingcheng LU. Evaluating the Detection Efficiency of MODIS Data for Low-density Green Tides in the Yellow Sea[J]. Remote Sensing Technology and Application, 2024, 39(4): 952

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    Paper Information

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    Received: Apr. 10, 2023

    Accepted: --

    Published Online: Jan. 6, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.4.0952

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