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Application of HY-1 CZI satellite images in monitoring of green tide in Yellow Sea

  • role： First author第一作者
  • Affiliation：

    CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

    Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：573483182@qq.com
  • Introduction：王鑫华，研究方向为海洋遥感。E-mail： 573483182@qq.com
WANG Xinhua123,  
  • Affiliation：

    CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

    Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China

    University of Chinese Academy of Sciences, Beijing 100049, China

LIU Hailong123,  
  • role： Corresponding author通信作者
  • Affiliation：

    CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

    Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：qgxing@yic.ac.cn
  • Introduction：邢前国，研究方向为海洋环境遥感、数值模拟与评估。E-mail： qgxing@yic.ac.cn
XING Qianguo123*,  
  • Affiliation：

    National Satellite Ocean Application Service, Ministry of Natural Resources Beijing 100081, China

LIU Jianqiang4,  
  • Affiliation：

    National Satellite Ocean Application Service, Ministry of Natural Resources Beijing 100081, China

DING Jing4,  
  • Affiliation：

    CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

    Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China

JIN Song12

resumen

The green tide in the Southern Yellow Sea have appeared 1.5 decades since 2007, resulting in a great losses to the marine ecological environment and government finance. With the help of multiple satellite images, remote sensing technique play an import part in monitoring green tide outbreak process. Yet selecting an appropriate sensor is a precondition in quantifying the severity of green tide. HY-1C satellite is great superior to other sensors for its relatively high spatial resolution (50 m), wide swath width (950 km) as well as short revisit time (3 days). Here, we introduce the green tide in GF-6 WFV images (16 m) to evaluate the capability of CZI images in the monitoring of green tide, and then compare the CZI results with the traditional MODIS images (250 m). And the GF-6 WFV images is also applied to evaluate the omission rate and accuracy of green tide extraction in the CZI and MODIS images. Based on the convert parameter between MODIS and CZI green tide mapping result, we get high frequency green tide outbreak process in 2019, 2020 and 2021.In this study, dynamic threshold is introduced to extract green tide from the DVI results and the coverage area of green tide will be obtained by adding up the area of pixel. Besides, the ratio of coverage area to affected area is used as the aggregation density of green tide. The relationship between the ratio of coverage area of green tide from MODIS and CZI images and aggregation density of green tide is also analyzed. And we give the linear relationship of coverage area of green tide obtained from satellite images with different resolution.Results indicate that the average omission rate of CZI images (6.64%) is much lower than that of MODIS images (34.08%). In addition, the coverage area of green tide acquired from MODIS and CZI images is high linearly correlated, so both of them can be linear transformed. With the combination of CZI images and MODIS images, the daily coverage areas of green tide in the Yellow Sea in 2019, 2020 and 2021 are retrieved. The CZI-based maximum daily coverage areas of green tide were 2290 km², 336 km² and 1949 km², respectively, which are consistent with the evolutions in the countermeasures adopted by managers to control the green tide.This study shows that, CZI image has the advantages of lower omission rate and higher accuracy of coverage area in monitoring of green tide in contrast to the MODIS image. And the defect of observation frequency in CZI image will be improved by the linear conversion of coverage area of green tide from MODIS and CZI images. Then, the high-frequency and high-precision of the observation of green tide will be realized.

palabra clave

green tide;Ulva prolifera;HY-1 CZI;MODIS;coverage area;omission rate;the Yellow Sea

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